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  • 1.
    Bider, Ilia
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Jalali, Amin
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Ohlsson, Jens
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Adaptive Case Management as a Process of Construction of and Movement in a State Space2013Inngår i: On the Move to Meaningful Internet Systems: OTM 2013 Workshops: Proceedings / [ed] Yan Tang Demey, Hervé Panetto, Springer Berlin/Heidelberg, 2013, 155-165 s.Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Despite having a number of years of experience, adaptive case management (ACM) still does not have a theory that would differentiate it from other paradigms of business process management and support. The known attempts to formalize Case Management do not seem to help much in creating an approach that could be useful in practice. This paper suggests an approach to building such a theory based on generalization of what is used in practice on one hand and the state-oriented view on business processes on the other. In practice, ACM systems use a number of ready-made templates that are picked up and filled as necessary for the case. State-oriented view considers a process instance/case as a point moving in a specially constructed state space. This paper suggests considering a case template as a definition of a sub-space and piking different template on the fly as constructing the state space along with moving in it when filling the template. The result is similar to what in control-flow based theories are considered as a state space with variable numbers of dimensions. Beside suggestions to building a theory, the paper demonstrates the usage of the theory on an example.

  • 2. Handel, Peter
    et al.
    Ohlsson, Jens
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Royal Institute of Technology, Sweden; Movelo AB, Sweden.
    Ohlsson, Martin
    Skog, Isaac
    Nygren, Elin
    Smartphone-Based Measurement Systems for Road Vehicle Traffic Monitoring and Usage-Based Insurance2014Inngår i: IEEE Systems Journal, ISSN 1932-8184, Vol. 8, nr 4, 1238-1248 s.Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    A framework is presented to deploy a smartphone-based measurement system for road vehicle traffic monitoring and usage-based insurance (UBI). Through the aid of a hierarchical model to modularize the description, the functionality is described as spanning from sensor-level functionality and technical specification to the topmost business model. The designer of a complex measurement system has to consider the full picture from low-level sensing, actuating, and wireless data transfer to the topmost level, including enticements for the individual smartphone owners, i.e., the end users who are the actual measurement probes. The measurement system provides two data streams: a primary stream to support road vehicle traffic monitoring and a secondary stream to support the UBI program. The former activity has a clear value for a society and its inhabitants, as it may reduce congestion and environmental impacts. The latter data stream drives the business model and parts of the revenue streams, which ensure the funding of the total measurement system and create value for the end users, the service provider, and the insurance company. In addition to the presented framework, outcome from a measurement campaign is presented, including road vehicle traffic monitoring (primary data stream) and a commercial pilot of UBI based on the driver profiles (secondary data stream). The measurement system is believed to be sustainable due to the incitements offered to the individual end users, in terms of favorable pricing for the insurance premium. The measurement campaign itself is believed to have an interest in its own right, as it includes smartphone probing of road traffic with a number of probes in the vicinity of the current state of the art, given by the Berkeley Mobile Millennium Project. During the ten-month run of the project, some 4500 driving h/250 000 km of road vehicle traffic data were collected.

  • 3. Handel, Peter
    et al.
    Skog, Isaac
    Wahlstrom, Johan
    Bonawiede, Farid
    Welch, Richard
    Ohlsson, Jens
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Movelo AB, Stockholm, Sweden.
    Ohlsson, Martin
    Insurance Telematics: Opportunities and Challenges with the Smartphone Solution2014Inngår i: IEEE intelligent transportation systems magazine, ISSN 1939-1390, Vol. 6, nr 4, 57-70 s.Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Smartphone-based insurance telematics or usage based insurance is a disruptive technology which relies on insurance premiums that reflect the risk profile of the driver; measured via smartphones with appropriate installed software. A survey of smartphone-based insurance telematics is presented, including definitions; Figure-of-Merits (FoMs), describing the behavior of the driver and the characteristics of the trip; and risk profiling of the driver based on different sets of FoMs. The data quality provided by the smartphone is characterized in terms of Accuracy, Integrity, Availability, and Continuity of Service. The quality of the smartphone data is further compared with the quality of data from traditional in-car mounted devices for insurance telematics, revealing the obstacles that have to be combated for a successful smartphone-based installation, which are the poor integrity and low availability. Simply speaking, the reliability is lacking considering the smartphone measurements. Integrity enhancement of smartphone data is illustrated by both second-by-second low-level signal processing to combat outliers and perform integrity monitoring, and by trip-based map-matching for robustification of the recorded trip data. A plurality of FoMs are described, analyzed and categorized, including events and properties like harsh braking, speeding, and location. The categorization of the FoMs in terms of Observability, Stationarity, Driver influence, and Actuarial relevance are tools for robust risk profiling of the driver and the trip. Proper driver feedback is briefly discussed, and rule-of-thumbs for feedback design are included. The work is supported by experimental validation, statistical analysis, and experiences from a recent insurance telematics pilot run in Sweden.

  • 4. Hanson, Jörgen
    et al.
    Ohlsson, Jens
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Ertan, Nevzat
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Wernmo, Stefan
    Schjødt-Osmo, Ole
    Han, Shengnan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Hedlund, Tomas
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    P2PIE: a New Enterprise Application Integration Solution 60-702015Inngår i: Proceedings of the CAiSE-2015 Industry Track co-located with 27th Conference on Advanced Information Systems Engineering (CAiSE 2015) / [ed] John Krogstie, Gustaf Juel-Skielse, Vandana Kabilan, 2015, 60-70 s.Konferansepaper (Fagfellevurdert)
    Abstract [en]

    In order to provide unified and consistent data and functionality, enterprises need to make all their applications work in an integrated manner. However, integration has become more difficult to handle when enterprises extend their business globally, more applications are implemented for supporting business activities, and more computing paradigms are adopted, e.g., cloud, social, and mobile, just to name a few. The state-of-the-art integration solutions have limitations to address the difficulty. In this paper, point to point integration engine-P2PIE, a new integration solution is presented and discussed. The solution combines distributed execution of integration with centralized management console, which innovate the fundamental integration infrastructures of point to point paradigm, and message systems. P2PIE is developed and tested by Sandvik over the decade. The solution has addressed Sandvik’s challenges in enterprise application integration. Agility, cost reduction and reliability of this solution are proved.

  • 5.
    Ohlsson, Jens
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Exploring Designs for a Process Prioritisation Method2016Doktoravhandling, med artikler (Annet vitenskapelig)
    Abstract [en]

    Problem/Purpose: Process prioritisation is an ill-structured and complex problem that remains a mystery phase in business process management (BPM) research. More explorative approaches are called upon to tackle process management problems, to facilitate process innovation and to design new processes in dynamic environments. This dissertation aims (i) to design and evaluate a Prioritisation and Categorisation Method (PCM) for addressing process prioritisation problems; and (ii) to explore process innovation by disruptive technologies.

    Research methods: This research follows the design science research (DSR) paradigm. The design exploration and the engaged scholarship approaches are also adapted. The demonstration and evaluation of the Prioritisation and Categorisation Method have been conducted with case studies in large Swedish companies, i.e. Seco Tools and Ericsson. An empirical study of the impacts of disruptive technologies on process innovation was conducted at a large insurance company in Sweden.

    Results: This research has led to the design and evaluation of the PCM: a new context-aware, effective and holistic method for BPM. In addition, the lessons learnt from the insurance case deepened the understanding of the challenges that are faced by a company when exploring new capabilities (e.g. processes and IT) for future business. Such lessons also emphasise the necessity of configuring PCM based upon business contingencies and industry factors in process prioritisation.

    Contributions: This dissertation contributes a novel method to explore BPM in a holistic, yet flexible and effective way. The challenges identified in process innovations improve the configuration capabilities of the PCM through a deeper understanding of the dynamic capabilities within organisations (Capability Layer Model-CLM). This research contributes design knowledge to DSR in the forms of the PCM as an invention, and the three design principles for the PCM: design by holistics, design by commitments and design by explorations. The research is evaluated as good BPM and good design science research.

  • 6.
    Ohlsson, Jens
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Han, Shengnan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bouwman, Harry
    The prioritization and categorization method (PCM) process evaluation at Ericsson: a case study2017Inngår i: Business Process Management Journal, ISSN 1463-7154, E-ISSN 1758-4116, Vol. 23, nr 2, 377-398 s.Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Purpose - The purpose of this paper is to demonstrate and evaluate the prioritization and categorization method (PCM), which facilitates the active participation of process stakeholders (managers, owners, customers) in process assessments. Stakeholders evaluate processes in terms of effectiveness, efficiency and relevance against certain contextual business and industry factors. This collective evaluation serves as a foundation for the management decision-making process regarding process improvement and redesign. Design/methodology/approach - The PCM is examined based on a case study at Ericsson. In total, 55 stakeholders, representing different organizational levels and functions, assessed eight core processes. Follow-up interviews and feedback after the evaluation sessions were collected for triangulation purpose. Findings - The PCM helps Ericsson evaluate its processes within business context and industry environments. The results show that, to realize seamless end-to-end processes in the eight assessed processes, Ericsson has to make a greater effort to improve its process structures, governance and culture for fulfilling the needs of future business. Ericsson Steering Group is satisfied with the insights provided and has decided to train more stakeholders to use PCM. Research limitations/implications - This research is based on a single case within a specific organizational setting. The results may not be necessary generalizable to other business and industry settings. Organizations need to configure PCM in consideration of their own processes and business contingencies to explore and fulfil their process improvement purposes. Originality/value - This paper presents a new context-aware, easy-to-use and holistic method for business process management (BPM), the PCM. The method requires the active engagement of stakeholders, it focusses on developing dynamic BPM capabilities and fully embeds organizational contingencies and contextual factors in the decision-making regarding BPM. This paper contributes a novel method to explorative BPM.

  • 7.
    Ohlsson, Jens
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Han, Shengnan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bouwman, Harry
    The Prioritization and Categorization Method (PCM)Process Evaluation at Ericsson: a case studyArtikkel i tidsskrift (Fagfellevurdert)
  • 8.
    Ohlsson, Jens
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Han, Shengnan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Hultin, Mats
    Rosengren, Björn
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    How to Achieve Sustainable Business IT Alignment – Designing a Circular Organizational Structure at SAAB2016Inngår i: Proceedings of the 49th Annual Hawaii International Conference on System Sciences / [ed] Tung X. Bui, Ralph H. Sprague, Jr., IEEE Computer Society, 2016, 5116-5125 s.Konferansepaper (Fagfellevurdert)
    Abstract [en]

    To achieve sustainable business IT alignment (BITA) requires firms to create a circular organizational structure that enhance interactions of major stakeholders. We aim to explore the issue, and in our study of SAAB, we find three viable components to design the organizational structure so it can foster the accomplishment of sustainable BITA: (1) Strong top management initiates the management boards so stakeholders across IT and business, and at different organization levels can participate in IT planning and decision making, (2) Business managers propose and engage in business related IT initiatives so they define critical requirements and needs, and they are responsible/accountable for BITA, and (3) CIO facilitates and coordinates planning, decision making, and implementation of ICT initiatives at ICT boards with a clear strategic focus on realizing business values. The paper explores unique insights of designing a circular organizational structure and its impacts on BITA, and contributes knowledge to IT management and practice.

  • 9.
    Ohlsson, Jens
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Han, Shengnan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Carpenhall, Fredrik
    Rusu, Lazar
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Prioritizing business processes improvement initiatives: the seco tools case2014Inngår i: Advanced Information Systems Engineering: 26th International Conference, CAiSE 2014, Thessaloniki, Greece, June 16-20, 2014. Proceedings / [ed] Matthias Jarke et al, Cham: Springer, 2014, 256-270 s.Konferansepaper (Fagfellevurdert)
  • 10.
    Ohlsson, Jens
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Han, Shengnan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Johannesson, Paul
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rusu, Lazar
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Developing a method for prioritizing business process improvement initiatives2014Inngår i: Pacific Asia Conference on Information Systems, PACIS 2014: Proceedings, Association for Information Systems , 2014, 342- s.Konferansepaper (Fagfellevurdert)
    Abstract [en]

    For continuous improvement and innovation in business processes, prioritizing processes is one of the top strategic decision-making tasks for chief information officers and business executives. However, most of the methods for prioritizing process improvement initiatives pay little attention to analysing the characteristics of processes. In addition, in the design process of these methods, the users (e.g. managers, process stakeholders) rarely participate. More importantly, how these methods can be adapted to managers’ decision-making process has not yet been fully explored. This paper addresses the need for a new method supporting managers’ decision making in prioritizing process improvement initiatives. We describe the design and evaluation of a prioritization and categorization method (PCM). The PCM consists of two models, the process assessment heat map (PAHM) and the process categorization map (CM), as well as five iterative activities. The evaluation results from Ericsson show that the PCM can produce a good-quality analysis of processes. It facilitates the decision-making process by eliciting the “collective intelligence” from key process stakeholders and managers. The findings also reveal the implications of improving the PCM to make it more configurable and dynamic. The paper contributes to business process management and proposes a novel method for prioritizing process improvement initiatives.

  • 11.
    Ohlsson, Jens
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Händel, Peter
    Han, Shengnan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Welch, Richard
    Process Innovation with Disruptive Technology in Auto Insurance: Lessons Learned from a Smartphone-Based Insurance Telematics Initiative2015Inngår i: BPM – Driving Innovation in a Digital World / [ed] Jan vom Brocke, Theresa Schmiedel, Berlin: Springer, 2015, nr 1, 85-101 s.Kapittel i bok, del av antologi (Annet vitenskapelig)
    Abstract [en]

    Insurance telematics or usage-based insurance (UBI) is a potential gamechanger for the insurance industry, especially for innovating auto-insurance. In order to achieve and sustain UBI for auto insurance, insurers are called upon to innovate the marketing and sales processes of the UBI product, as well as related processes such as risk assessment and price calculation. In this chapter, we demonstrate the insurer’s process innovation with smartphone-based insurance telematics, using the example of the “If SafeDrive” campaign which was commercially conducted by the insurer If P & C in Sweden. The results show that although disruptive technology can trigger process innovation, such innovation cannot succeed and be sustained without fundamental changes in a company’s structure, business model and business strategy. We further propose a capability layer model for understanding the insurer’s process innovation behaviour. This chapter provokes the critical thinking with regard to the exploration and exploitation of disruptive technology into process innovation. Further, the chapter contributes new knowledge to the research of process innovation with disruptive digital technologies.

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