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Article
Publication date: 8 August 2018

Milla Ratia, Jussi Myllärniemi and Nina Helander

As the health care sector is changing rapidly, there is a growing need to develop new ways to make data-driven decisions, especially at the organizational level. Data utilization…

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Abstract

Purpose

As the health care sector is changing rapidly, there is a growing need to develop new ways to make data-driven decisions, especially at the organizational level. Data utilization, like business intelligence (BI) activities, benefits health care organizations. The purpose of this paper is to study the potential of Big Data and the utilization of BI tools in creating value in the private health care industry in Finland.

Design/methodology/approach

Intellectual capital (IC) components and Möller et al.’s (2005) work on value capabilities are used as a framework to point out the roles of data utilization and BI tools in value creation. Thematic interviews enable understanding of the value creation based on Big Data potential and utilization of BI tools in the Finnish private health care industry.

Findings

The findings will provide an understanding of the existing data sources and BI tools used in private health care. In addition, it provides an insight into the future-oriented Big Data potential, which can create new business concepts. The approach provides valuable insights for value identifying the future needs of data utilization and creates an understanding on the current state within the private health care sector.

Originality/value

Data-driven value creation is one of the most discussed topics in private health care sector. By analyzing the current data-source utilization, challenges with data and BI tool utilization and the future vision and development roadmaps, the authors gain a better understanding of the IC components and value creation capabilities.

Details

Meditari Accountancy Research, vol. 26 no. 3
Type: Research Article
ISSN: 2049-372X

Keywords

Article
Publication date: 7 November 2019

Milla Ratia, Jussi Myllärniemi and Nina Helander

The private health care sector is seeking to improve their understanding of business processes to be able to improve their performance. The purpose of this paper is to understand…

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Abstract

Purpose

The private health care sector is seeking to improve their understanding of business processes to be able to improve their performance. The purpose of this paper is to understand the future needs of the private health care sector organizations in terms of business intelligence (BI) and business analytics (BA) to ensure value creation.

Design/methodology/approach

The four evolution stages of intellectual capital enriched by managerial data-driven approach are used as a framework to point out the future of BI or BA in the private healthcare sector. The research includes private health care organizations, BI vendors and management consultants in Finland.

Findings

Based on the findings, the private health care is stepping towards a new phase of data-driven decision-making, requiring to change the whole set of mind towards use of data and required capabilities. Moreover, it shows that the future factors of BI varied from practical tools and methods such as predictive and prescriptive analytics along with AI, to more conceptual factors such as social BI co-creation and platforms.

Practical implications

As an outcome, this study provides an understanding of the role of IC components in the future BI and use of BA as well as provides a valuable insight into the future potential of BI in the private health care sector.

Originality/value

Data-driven decision-making and seeking for new business opportunities are currently one of the most discussed topics in the private health care sector. By identifying the future opportunities of BI and BA, this study provides a better understanding of the role of IC components and BI in creating potential for new business for private health care.

Details

Measuring Business Excellence, vol. 23 no. 4
Type: Research Article
ISSN: 1368-3047

Keywords

Article
Publication date: 11 November 2020

Aki Jääskeläinen, Virpi Sillanpää, Nina Helander, Riikka-Leena Leskelä, Ira Haavisto, Valtteri Laasonen and Paulus Torkki

This study aims to report the design and testing of a maturity model for information and knowledge management in the public sector, intended for use in frequent monitoring, trend…

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Abstract

Purpose

This study aims to report the design and testing of a maturity model for information and knowledge management in the public sector, intended for use in frequent monitoring, trend analysis and in-depth analysis of the contemporary information and knowledge management practices of an organization.

Design/methodology/approach

A design science approach was used to develop the proposed model. Creation of the model was based on an extensive literature review. Testing of the model was implemented as a survey receiving 37 responses from nine organizations organizing and purchasing public services.

Findings

The study presents four alternative profiles for an organization’s status, novice, experimenter, facilitator and advanced exploiter, and investigates the differences between these profiles on the basis of the empirical data gathered. The model was found to be both a valid and practical way to determine the state of an organization’s information and knowledge management and identify development needs.

Research limitations/implications

Testing was conducted in the Finnish public sector and further studies applying the model could be implemented in other countries. The model presented was designed specifically for the public sector and more research is needed to test its applicability in the private sector.

Originality/value

Maturity models are useful when evaluating information and knowledge management status in an organization, and beneficial for improving organizational performance. The proposed maturity model combines the fields of knowledge management and information management and contributes to the literature with an overarching maturity model that includes a dimension of satisfaction with the organizational maturity level. While many earlier models originate from the consultancy business, the model presented here was also designed for research purposes and tested in practice.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 52 no. 1
Type: Research Article
ISSN: 2059-5891

Keywords

Open Access
Article
Publication date: 31 May 2024

Prashanth Madhala, Hongxiu Li and Nina Helander

The information systems (IS) literature has indicated the importance of data analytics capabilities (DAC) in improving business performance in organizations. The literature has…

Abstract

Purpose

The information systems (IS) literature has indicated the importance of data analytics capabilities (DAC) in improving business performance in organizations. The literature has also highlighted the roles of organizations’ data-related resources in developing their DAC and enhancing their business performance. However, little research has taken resource quality into account when studying DAC for business performance enhancement. Therefore, the purpose of this paper is to understand the impact of resource quality on DAC development for business performance enhancement.

Design/methodology/approach

We studied DAC development using the resource-based view and the IS success model based on empirical data collected via 19 semi-structured interviews.

Findings

Our findings show that data-related resource (including data, data systems, and data services) quality is vital to the development of DAC and the enhancement of organizations’ business performance. The study uncovers the factors that make up each quality dimension, which is required for developing DAC for business performance enhancement.

Originality/value

Using the resource quality view, this study contributes to the literature by exploring the role of data-related resource quality in DAC development and business performance enhancement.

Details

Industrial Management & Data Systems, vol. 124 no. 7
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 25 September 2019

Salvatore Ammirato, Francesco Sofo, Alberto Michele Felicetti, Nina Helander and Heli Aramo-Immonen

Strong agreement in the extant business literature emphasizes that digital developments are key to economic growth internationally. This is in spite of the recorded high levels…

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Abstract

Purpose

Strong agreement in the extant business literature emphasizes that digital developments are key to economic growth internationally. This is in spite of the recorded high levels (up to 50 percent) of failure among digital companies and entrepreneurs. The purpose of this paper is to identify the digital debates in Italy, explore current policies and develop a typology that characterizes digital entrepreneurs (DEs) and their start-up companies in Italy.

Design/methodology/approach

The digital debates and policies are explored through an extensive telephone survey of the self-perceptions and identified supports required by 348 Italian active DEs. Quantitative statistical techniques were used including factor analysis, cluster analysis and ANOVA, to identify motivations, profiles and critical success factors relevant to the sample.

Findings

The study identifies three main clusters among the DEs: emerging very young; emerging business focused and experienced. These clusters vary with the entrepreneurs’ background and competence base, motivation and satisfaction factors. The different kinds of profiles require specific kinds of supporting policies identified by the sample that focus on financial, educational and/or networking provision.

Originality/value

The paper affirms the central role of digital entities in modern economies expressed in the current literature and increases knowledge of the perceived success factors identified by DEs. The identification and classification of self-reported characteristics of Italian DEs and to what extent these characterizations might be useful for tailored interventions to support their success are the main contributions of this study. Accordingly, an authentic, original and self-reported portrayal has been constructed of the self-perceptions of Italian DEs. Finally, the study explores the implications for actions and new policies considering self-perceived profiles, needs and expectations of DEs.

Details

International Journal of Entrepreneurial Behavior & Research, vol. 26 no. 2
Type: Research Article
ISSN: 1355-2554

Keywords

Article
Publication date: 1 August 2001

Pauliina Hirvonen and Nina Helander

Studies customer relationships in professional services. A framework is proposed for managing professional service relationships in a way that creates value for both parties of…

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Abstract

Studies customer relationships in professional services. A framework is proposed for managing professional service relationships in a way that creates value for both parties of the relationship. Furthermore, through the framework the marketer is able to discover also those customer needs that the customer itself is not even aware of. The framework and the benefits of joint value creation are illustrated through a case study of an organisation providing learning and personnel development services.

Details

The TQM Magazine, vol. 13 no. 4
Type: Research Article
ISSN: 0954-478X

Keywords

Article
Publication date: 24 July 2007

Katri Valkokari and Nina Helander

The purpose of this paper is to bridge the knowledge management (KM) and strategic business network literatures from the viewpoint of SMEs.

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Abstract

Purpose

The purpose of this paper is to bridge the knowledge management (KM) and strategic business network literatures from the viewpoint of SMEs.

Design/methodology/approach

This paper presents a typology of KM and strategic business networks; thus the paper is based on a literature review and analysis.

Findings

The paper provides a typology of the strategic SME network types and their key KM challenges based on a synthesis of existing literature.

Research limitations/implications

It is suggested that longitudinal case studies of KM practices in strategic SME networks should be conducted. An empirical multi‐case study has already been started.

Originality/value

The presented SME network typology can benefit SME managers facing networking and KM challenges. Besides, it is suggested that a common strategy should be developed for all types of networks to enable the creation of knowledge‐based competencies and capabilities.

Details

Management Research News, vol. 30 no. 8
Type: Research Article
ISSN: 0140-9174

Keywords

Book part
Publication date: 11 June 2021

Hanlie Smuts and Alet Smith

Significant advances in digital technologies impact both organisations and knowledge workers alike. Organisations are now able to effectively analyse significant amounts of data…

Abstract

Significant advances in digital technologies impact both organisations and knowledge workers alike. Organisations are now able to effectively analyse significant amounts of data, while accomplishing actionable insight and data-driven decision-making through knowledge workers that understand and manage greater complexity. For decision-makers to be in a position where sufficient information and data-driven insights enable them to make informed decisions, they need to better understand fundamental constructs that lead to the understanding of deep knowledge and wisdom. In an attempt to guide organisations in such a process of understanding, this research study focuses on the design of an organisational transformation framework for data-driven decision-making (OTxDD) based on the collaboration of human and machine for knowledge work. The OTxDD framework was designed through a design science research approach and consists of 4 major enablers (data analytics, data management, data platform, data-driven organisation ethos) and 12 sub-enablers. The OTxDD framework was evaluated in a real-world scenario, where after, based on the evaluation feedback, the OTxDD framework was improved and an organisational measurement tool developed. By considering such an OTxDD framework and measurement tool, organisations will be able to create a clear transformation path to data-driven decision-making, while applying the insight from both knowledge workers and intelligent machines.

Details

Information Technology in Organisations and Societies: Multidisciplinary Perspectives from AI to Technostress
Type: Book
ISBN: 978-1-83909-812-3

Keywords

Content available
Article
Publication date: 1 February 2011

Pauliina Ulkuniemi and Saara Pekkarinen

103

Abstract

Details

Journal of Business & Industrial Marketing, vol. 26 no. 5
Type: Research Article
ISSN: 0885-8624

Article
Publication date: 12 August 2020

Tiina-Kaisa Kuuru and Elina Närvänen

This paper aims to study the embodied nature of service employees’ work in human touch contexts.

Abstract

Purpose

This paper aims to study the embodied nature of service employees’ work in human touch contexts.

Design/methodology/approach

The paper adopts the practice theory as its interpretive approach, using focus group interviews with service employees from different industries.

Findings

The study identifies four practice bundles related to the embodied dimension of service employees’ work: orienting, attuning, connecting and wrapping up. The findings illustrate how employees’ knowledge, skills and capabilities are used via the body.

Practical implications

The study provides guidance for managers to use an embodied perspective in the management of service employees.

Originality/value

This study contributes to the discussion on embodiment in service encounters by highlighting the embodied nature of service employees’ work.

Details

Journal of Services Marketing, vol. 36 no. 3
Type: Research Article
ISSN: 0887-6045

Keywords

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