A Business continuity management maturity model : the search for an ISO 22301 Compliant BCM Maturity model

BCM (business continuity Management) is a holistic management process aiming at ensuring business continuity and building organizational resilience. Maturity models offer organizations a tool for evaluating their current maturity in a certain process. In the recent years BCM has been subject to international ISO standardization, while the interest of organizations to bechmark their state of BCM agains standards and the use of maturity models for these asessments has increased. However, although new standards have been introduced, very little attention has been paid to reviewing the existing BCM maturity models in research - especially in the light of the new ISO 22301 standard for BCM. In this thesis the existing BCM maturily models are carefully evaluated to determine whetherthey could be improved. In order to accomplish this, the compliance of the existing models to the ISO 22301 standard is measured and a framework for assessing a maturitymodel´s quality is defined. After carefully evaluating the existing frameworks for maturity model development and evaluation, an approach suggested by Becker et al. (2009) was chosen as the basis for the research. An additionto the procedural model a set of seven research guidelines proposed by the same authors was applied, drawing on the design-science research guidelines as suggested by Hevner et al. (2004). Furthermore, the existing models´ form and function was evaluated to address their usability. Based on the evaluation of the existing BCM maturity models, the existing models were found to have shortcomings in each dimension of the evaluation. Utilizing the best of the existing models, a draft version for an enhanced model was developed. This draft model was then iteratively developed by conducting six semi-structured interviews with BCM professionals in finland with the aim of validating and improving it. As a Result, a final version of the enhanced BCM maturity model was developed, conforming to the seven key clauses in the ISO 22301 standard and the maturity model development guidelines suggested by Becker et al. (2009).

Evaluating the Maturity of Data Management Practices in a Major Energy Provider Company

Data is the most important asset of a company in the information age. Other assets, such as technology, facilities or products can be copied or reverse-engineered, employees can be brought over, but data remains unique to every company. As data management topics are slowly moving from unknown unknowns to known unknowns, tools to evaluate and manage data properly are developed and refined. Many projects are in progress today to develop various maturity models for evaluating information and data management practices. These maturity models come in many shapes and sizes: from short and concise ones meant for a quick assessment, to complex ones that call for an expert assessment by experienced consultants. In this paper several of them, made not only by external inter-organizational groups and authors, but also developed internally at a Major Energy Provider Company (MEPC) are juxtaposed and thoroughly analyzed. Apart from analyzing the available maturity models related to Data Management, this paper also selects the one with the most merit and describes and analyzes using it to perform a maturity assessment in MEPC. The utility of maturity models is two-fold: descriptive and prescriptive. Besides recording the current state of Data Management practices maturity by performing the assessments, this maturity model is also used to chart the way forward. Thus, after the current situation is presented, analysis and recommendations on how to improve it based on the definitions of higher levels of maturity are given. Generally, the main trend observed was the widening of the Data Management field to include more business and “soft” areas (as opposed to technical ones) and the change of focus towards business value of data, while assuming that the underlying IT systems for managing data are “ideal”, that is, left to the purely technical disciplines to design and maintain. This trend is not only present in Data Management but in other technological areas as well, where more and more attention is given to innovative use of technology, while acknowledging that the strategic importance of IT as such is diminishing.

Assessment of purchasing maturity in spare parts supply chain

To describe the change of purchasing moving from administrative to strategic function academics have put forward maturity models which help practitioners to compare their purchasing activities to industry top performers and best practices. However, none of the models aim to distinguish the purchasing maturity from the after-sales point of view, even though after-sales activities are acknowledged as a relevant source of revenue, profit and competitive advantage in most manufacturing firms. The maturity of purchasing and supply management practices have a large impact to the overall performance of the spare parts supply chain and ultimately to the value creation and relationship building for the end customer. The research was done as a case study for a European after-sales organization which is part of a globally operating industrial firm specialized in heavy machinery. The study mapped the current state of the purchasing practices in the case organization and also distinguished the relevant areas for future development. The study was based on the purchasing maturity model developed by Schiele (2007) and investigated also how applicable is the maturity model in the spare parts supply chain context. Data for the assessment was gathered using five expert interviews inside the case organization and other parties involved in the company’s spare parts supply chain. Inventory management dimension was added to the original maturity model in order to better capture the important areas in a spare parts supply chain. The added five questions were deduced from the spare parts management literature and verified as relevant areas by the case organization’s personnel. Results indicate that largest need for development in the case organization are: better collaboration between sourcing and operative procurement functions, use of installed base information in the spare parts management, training plan development for new buyers, assessment of aligned KPI’s between the supply chain parties and better defining the role of after-sales sourcing. The purchasing maturity model used in this research worked well in H&R Leading, Controlling and Inventory Management dimensions. The assessment was more difficult to conduct in the Supplier related processes, Process integration and Organizational structure –dimensions, mainly because the assessment in these sections would for some parts require more company-wide assessment. Results indicate also that the purchasing maturity model developed by Schiele (2007) captures the relevant areas in the spare parts supply as well.

Pk-yrityksen polku systemaattiseen tuote- ja elinkaaritiedon hallintaan

Tutkimus on tehty Tekesin DTP-ohjelman Sinfonet-tutkimusprojektin puitteissa aikavälillä 2009-2011. Työssä on laadittu kokonaisvaltainen tuote- ja elinkaaritiedon hallinnan (eng. Product Lifecycle Management, PLM) tiekartta ja kehityssuunnitelma pienelle engineering-yritykselle. Työ käsittelee asiakkaan erikoisvaatimusten mukaan räätälöitävän tuotteen tuote- ja elinkaaritiedon hallinnan systematisointia pk-yrityksessä. Vaikka PLM-tiekartta on laadittu yksittäiselle yritykselle, sitä voidaan tietyin edellytyksin soveltaa myös toisten pk-yritysten tai engineeringyritysten PLM:n kehittämiseen. Teoriassa tarkastellaan ensinnäkin kohdeyritykseen liittyviä erityispiirteitä, pyritään ymmärtämään engineering–yrityksen ja pk-yrityksen erikoispiirteitä sekä niiden vaikutusta PLM:n kehittämiseen. Toiseksi esitellään PLM:n viittä keskeistä osaaluetta, yksi- ja viisiulotteisten PLM-kypsyysmallien käyttöä yrityksen nykytilan arvioimiseksi sekä rakennetaan engineering-yrityksen kokonaisvaltainen PLM-malli ja kahdeksan askeleen PLM-kehityspolku. PLM-malli jäsentää tiedonhallintaa prosessien kautta ja se koostuu viidestä osaalueesta: strategia identifioi asiakastarpeet sekä määrittelee kuinka tuotteiden ja prosessien avulla asiakastarpeet tyydytetään; prosessit ovat yrityksen toiminnan ydin, joissa tuotemallit ja tuote- ja tietorakenteet kehitetään sekä tuoteyksilöt toimitetaan asiakkaalle; rakenteet pohjautuvat strategiassa valittuun tuote- ja tiedonhallinnan strategiaan ja niiden tehtävänä on tukea ja tehostaa toimintaprosesseja; kulttuuri ja ihmiset muodostavat aineettoman pääoman, jonka vaikutuksesta prosessit toimivat ja tuotteet pystytään toimittamaan asiakkaalle; informaatioteknologia on työkalu, jota käytetään prosesseissa ja tietorakenteiden ylläpidossa, pääosin dokumentoidun tiedon luomiseen, hankitaan, varastoimiseen, jakamiseen ja soveltamiseen. Tapaustutkimuksessa kuvataan kohdeyrityksen nykytilaa PLM:n viidellä keskeisellä osa-alueella, tehdään PLM kypsyysarvio kahdella menetelmällä, määritellään yrityksen tavoitetila ja laaditaan yritykselle ensin alustava PLM roadmap ja lopulta kokonaisvaltaiseen PLM-malliin perustuva PLM roadmap ja PLM:n jatkokehityssuunnitelma.

Pk-yrityksen innovaatiokyvykkyyden maturiteettimalli

Tämä diplomityö on tehty suorituskyky johtamisen pääaineeseen ja sen tavoitteena on ollut suunnitella ja toteuttaa pieniin ja keskisuuriin yrityksiin soveltuva innovaatiokyvykkyyden maturiteetti- eli kypsyysmalli. Tutkimuksessa käytetään kvalitatiivista eli laadullista lähestymistapaa ja sovelletaan konstruktiivista tutkimusotetta. Tutkimuksen peruskäsitteet ovat innovaatio, innovatiivisuus ja innovaatiokyvykkyys. Innovaatio-käsite voidaan ymmärtää eräänlaiseksi synonyymiksi uutuudelle. Kattavin määritelmä innovaatiolle on ymmärtää se yksittäisen tapahtuman sijasta prosessina. Suorituskyvyn johtamisen näkökulmasta innovatiivisuutta voidaan pitää yhtenä yrityksen sisäisen suorituskyvyn kulmakivenä. Innovaatiokyky on osa yrityksen aineetonta pääomaa sekä organisaation suorituskyvyn ja menestymisen osa-alue ja taustatekijä. Yrityksen koko vaikuttaa sen innovaatiotoimintaan sekä määrällisesti käytettävien resurssien ja tehtävien investointien suuruutena että laadullisesti innovaatiotoiminnan organisoinnissa ja toteutuksessa. Innovaatiokyvykkyyden maturiteettimallin perusajatus on nähdä innovaatiokyvykkyys eteenpäin liikkuvana prosessina, jossa yritys tai organisaatio parantaa omaa asemaansa suhteessa ennalta määrättyihin innovaatiokyvykkyyden tekijöihin. Tutkimuksessa konstruoitu pk-yritysten innovaatiokyvykkyyden maturiteettimalli muodostuu kokonaisuudesta, jossa on kolme tekijää: mittaristo, maturiteettikuvio ja tasoportaat sekä nämä toisiinsa kytkevä innovaatiokyvykkyyden viitekehys. Mallin toimivuutta testattiin heikolla markkinatestillä suomalaisessa tietotekniikka-alan palveluyrityksen tuotekehitysorganisaatiossa. Tuloksien perusteella määritettiin case-organisaation maturiteettitaso. Lisäksi organisaatiosta löydettiin niin kehittämiskohteita kuin vahvuuksiakin.

MASTER DATA MANAGEMENT MATURITY AND TECHNOLOGY ASSESSMENT - From theory to practice, case Ineo Oy

After decades of mergers and acquisitions and successive technology trends such as CRM, ERP and DW, the data in enterprise systems is scattered and inconsistent. Global organizations face the challenge of addressing local uses of shared business entities, such as customer and material, and at the same time have a consistent, unique, and consolidate view of financial indicators. In addition, current enterprise systems do not accommodate the pace of organizational changes and immense efforts are required to maintain data. When it comes to systems integration, ERPs are considered “closed” and expensive. Data structures are complex and the “out-of-the-box” integration options offered are not based on industry standards. Therefore expensive and time-consuming projects are undertaken in order to have required data flowing according to business processes needs. Master Data Management (MDM) emerges as one discipline focused on ensuring long-term data consistency. Presented as a technology-enabled business discipline, it emphasizes business process and governance to model and maintain the data related to key business entities. There are immense technical and organizational challenges to accomplish the “single version of the truth” MDM mantra. Adding one central repository of master data might prove unfeasible in a few scenarios, thus an incremental approach is recommended, starting from areas most critically affected by data issues. This research aims at understanding the current literature on MDM and contrasting it with views from professionals. The data collected from interviews revealed details on the complexities of data structures and data management practices in global organizations, reinforcing the call for more in-depth research on organizational aspects of MDM. The most difficult piece of master data to manage is the “local” part, the attributes related to the sourcing and storing of materials in one particular warehouse in The Netherlands or a complex set of pricing rules for a subsidiary of a customer in Brazil. From a practical perspective, this research evaluates one MDM solution under development at a Finnish IT solution-provider. By means of applying an existing assessment method, the research attempts at providing the company with one possible tool to evaluate its product from a vendor-agnostics perspective.