Search results

1 – 10 of over 4000
Article
Publication date: 5 May 2020

Christoph F. Breidbach and Paul Maglio

The purpose of this study is to identify, analyze and explain the ethical implications that can result from the datafication of service.

3185

Abstract

Purpose

The purpose of this study is to identify, analyze and explain the ethical implications that can result from the datafication of service.

Design/methodology/approach

This study uses a midrange theorizing approach to integrate currently disconnected perspectives on technology-enabled service, data-driven business models, data ethics and business ethics to introduce a novel analytical framework centered on data-driven business models as the general metatheoretical unit of analysis. The authors then contextualize the framework using data-intensive insurance services.

Findings

The resulting midrange theory offers new insights into how using machine learning, AI and big data sets can lead to unethical implications. Centered around 13 ethical challenges, this work outlines how data-driven business models redefine the value network, alter the roles of individual actors as cocreators of value, lead to the emergence of new data-driven value propositions, as well as novel revenue and cost models.

Practical implications

Future research based on the framework can help guide practitioners to implement and use advanced analytics more effectively and ethically.

Originality/value

At a time when future technological developments related to AI, machine learning or other forms of advanced data analytics are unpredictable, this study instigates a critical and timely discourse within the service research community about the ethical implications that can arise from the datafication of service by introducing much-needed theory and terminology.

Details

Journal of Service Management, vol. 31 no. 2
Type: Research Article
ISSN: 1757-5818

Keywords

Article
Publication date: 30 July 2018

Mauro Romanelli

The aim of this study is to provide a conceptual framework to explain how museums sustain intellectual capital and promote value co-creation moving from designing virtual…

1069

Abstract

Purposes

The aim of this study is to provide a conceptual framework to explain how museums sustain intellectual capital and promote value co-creation moving from designing virtual environments to introducing and managing Big Data.

Design/methodology/approach

This study is based on archival and qualitative data considering the literature related to the introduction of virtual environments and Big Data within museums.

Findings

Museums contribute to sustaining intellectual capital and in promoting value co-creation developing a Big Data-driven strategy and innovation.

Practical implications

By introducing and managing Big Data, museums contribute to creating a community by improving knowledge within cultural ecosystems while strengthening the users as active participants and the museum’s professionals as user-centred mediators.

Originality/value

As audience-driven and knowledge-oriented organisations moving from designing virtual environments to following a Big data-driven strategy, museums should select organisational and strategic choices for driving change.

Details

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

Keywords

Article
Publication date: 10 May 2023

Pietro Pavone, Paolo Ricci and Massimiliano Calogero

This paper aims to investigate the literacy corpus regarding the potential of big data to improve public decision-making processes and direct these processes toward the creation

Abstract

Purpose

This paper aims to investigate the literacy corpus regarding the potential of big data to improve public decision-making processes and direct these processes toward the creation of public value. This paper presents a map of current knowledge in a sample of selected articles and explores the intersecting points between data from the private sector and the public dimension in relation to benefits for society.

Design/methodology/approach

A bibliometric analysis was performed to provide a retrospective review of published content in the past decade in the field of big data for the public interest. This paper describes citation patterns, key topics and publication trends.

Findings

The findings indicate a propensity in the current literature to deal with the issue of data value creation in the private dimension (data as input to improve business performance or customer relations). Research on data for the public good has so far been underestimated. Evidence shows that big data value creation is closely associated with a collective process in which multiple levels of interaction and data sharing develop between both private and public actors in data ecosystems that pose new challenges for accountability and legitimation processes.

Research limitations/implications

The bibliometric method focuses on academic papers. This paper does not include conference proceedings, books or book chapters. Consequently, a part of the existing literature was excluded from the investigation and further empirical research is required to validate some of the proposed theoretical assumptions.

Originality/value

Although this paper presents the main contents of previous studies, it highlights the need to systematize data-driven private practices for public purposes. This paper offers insights to better understand these processes from a public management perspective.

Details

Meditari Accountancy Research, vol. 32 no. 2
Type: Research Article
ISSN: 2049-372X

Keywords

Article
Publication date: 24 January 2023

Dawn Holmes, Judith Zolkiewski and Jamie Burton

Despite data being a hot topic, little is known about how data can be successfully used in interactions in business-to-business relationships, specifically in the boundary…

Abstract

Purpose

Despite data being a hot topic, little is known about how data can be successfully used in interactions in business-to-business relationships, specifically in the boundary spanning contexts of firms working together to use data and create value. Hence, this study aims to investigate the boundary spanning context of data-driven customer value projects to understand the outcomes of such activities, including the types of value created, how resulting value is shared between the interacting firms, the types of capabilities required for firms to deliver value from data and in what contexts different outcomes are created and different capabilities required.

Design/methodology/approach

Three abductive case studies were undertaken with firms from different business-to-business domains. Data were coded in NVivo and interpreted using template analysis and cross-case comparison. Findings were sense checked with the case study companies and other practitioners for accuracy, relevance and resonance.

Findings

The findings expand our understanding of firm interactions when extracting value from data, and this study presents 15 outcomes of value created by the firms in the study. This study illustrates the complexity and intertwined nature of the process of value creation, which emphasises the need to understand distinct types of outcomes of value creation and how they benefit the firms involved. This study goes beyond this by categorising these outcomes as unilateral (one actor benefits), developmental (one actor benefits from the other) or bilateral (both actors benefit).

Research limitations/implications

This research is exploratory in nature. This study provides a basis for further exploration of how firm interactions surrounding the implementation of data-driven customer value projects can benefit the firms involved and offers some transferable knowledge which is of particular relevance to practitioners.

Practical implications

This research contributes to the understanding of data-driven customer-focused projects and offers some practical management tools. The identification of outcomes helps define project goals and helps connect these goals to strategy. The organisation of outcomes into themes and contexts helps managers allocate appropriate human resources to oversee projects, mitigating the impacts of a current lack of talent in this area. Additionally, using the findings of this research, firms can develop specific capabilities to exploit the project outcomes and the opportunities such projects provide. The findings can also be used to enhance relationships between firms and their customers, providing customer value.

Originality/value

This work builds on research that explores the creation of value from data and how value is created in boundary spanning contexts. This study expands existing work by providing greater insight into the mechanics and outcomes of value creation and by providing specific examples of value created. This study also offers some recommendations of capability requirements for firms undertaking such work.

Details

Journal of Business & Industrial Marketing, vol. 38 no. 6
Type: Research Article
ISSN: 0885-8624

Keywords

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…

1065

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: 8 August 2022

Ayman Wael Al-Khatib

This study explores the connection between big data analytics capabilities and the competitive advantage of the manufacturing sector in Jordan through the mediating role of green…

1721

Abstract

Purpose

This study explores the connection between big data analytics capabilities and the competitive advantage of the manufacturing sector in Jordan through the mediating role of green radical innovation and green incremental innovation as well as the moderating role of a data-driven culture.

Design/methodology/approach

For the purpose of this study, 356 questionnaires were analysed. Convergent validity and discriminant validity tests were performed through structural equation modelling in the Smart-PLS programme, and the data reliability was confirmed. A bootstrapping technique was used to analyse the data. The mediating effect for green radical and green incremental innovation and the moderating effect for data-driven culture were performed.

Findings

The empirical results showed that the proposed moderated-mediation model was accepted because the relationships between the constructs were statistically significant. The results of the data analysis supported a positive relationship between big data analytics capabilities and the competitive advantage as well as a mediating effect of green radical innovation and green incremental innovation. It was confirmed that there is a moderating relationship for data-driven culture between green radical innovation, green incremental innovation and competitive advantage.

Research limitations/implications

This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalization of its results, and the results are limited to one country.

Originality/value

This research developed a theoretical model to incorporate big data analytics capabilities, green radical innovation, green incremental innovation, data-driven culture, and competitive advantage. This study provides new findings that bridge the existing research gap in the literature by testing the moderated mediation model with a focus on the organizational benefits of big data analytics capabilities to improve levels of green innovation and competitive advantage in the Jordanian manufacturing sector.

Details

Business Process Management Journal, vol. 28 no. 4
Type: Research Article
ISSN: 1463-7154

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…

1686

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

Open Access
Article
Publication date: 5 December 2018

Chiehyeon Lim, Min-Jun Kim, Ki-Hun Kim, Kwang-Jae Kim and Paul Maglio

The proliferation of customer-related data provides companies with numerous service opportunities to create customer value. The purpose of this study is to develop a framework to…

13978

Abstract

Purpose

The proliferation of customer-related data provides companies with numerous service opportunities to create customer value. The purpose of this study is to develop a framework to use this data to provide services.

Design/methodology/approach

This study conducted four action research projects on the use of customer-related data for service design with industry and government. Based on these projects, a practical framework was designed, applied, and validated, and was further refined by analyzing relevant service cases and incorporating the service and operations management literature.

Findings

The proposed customer process management (CPM) framework suggests steps a service provider can take when providing information to its customers to improve their processes and create more value-in-use by using data related to their processes. The applicability of this framework is illustrated using real examples from the action research projects and relevant literature.

Originality/value

“Using data to advance service” is a critical and timely research topic in the service literature. This study develops an original, specific framework for a company’s use of customer-related data to advance its services and create customer value. Moreover, the four projects with industry and government are early CPM case studies with real data.

Details

Journal of Service Management, vol. 30 no. 1
Type: Research Article
ISSN: 1757-5818

Keywords

Article
Publication date: 5 May 2020

Pasquale Del Vecchio, Gioconda Mele, Giuseppina Passiante, Demetris Vrontis and Cosimo Fanuli

This paper aims to demonstrate how the integration of netnography and business analytics can support companies in the process of value creation from social big data by leveraging…

2547

Abstract

Purpose

This paper aims to demonstrate how the integration of netnography and business analytics can support companies in the process of value creation from social big data by leveraging on customer relationship management and customer knowledge management (CKM).

Design/methodology/approach

This paper adopts the methodology of a single case study by using desk analysis, netnography and business analytics. The context of analysis has been identified into the case of Aurora Company, a well-known producer of fountain pens.

Findings

The case demonstrates how the integration of big data analytics and netnography is relevant for the development of a customer relationship management strategy. The results obtained have been categorized according to the three main categories of customer knowledge, such as knowledge for, from and about customer.

Research limitations/implications

This paper presents implications for the advancement of the theory on CKM by demonstrating, as the acquisition, storage and management of data generated by customers on social media require the adoption of a cross-disciplinary approach resulting from the integration of qualitative and quantitative approaches. The framework is structured as methodological tool to detect knowledge in virtual community.

Practical implications

Practical implications arise for managers and entrepreneurs in terms of value creation from knowledge assets generated on social big data through the management of the customers’ relationship and data-driven innovation patterns.

Originality/value

This paper offers an original contribution of integration of well-established research streams. The focus on the knowledge under the perspectives of information assets for, from and about customers in the debate on value creation and management of big data is an element of value offered by this study in addition to the comprehension of strategies of social customer relationship management as actual initiative embraced by a company in the leveraging of innovation and tradition.

Details

Journal of Knowledge Management, vol. 24 no. 4
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 2 November 2023

Mahsa Sadeghi, Amin Mahmoudi, Xiaopeng Deng and Leila Moslemi Naeni

The aim of this article states that in each stage of the industrial revolution, only a few initiatives have been real game changers. In Industry 3.0, “Internet of Information” has…

Abstract

Purpose

The aim of this article states that in each stage of the industrial revolution, only a few initiatives have been real game changers. In Industry 3.0, “Internet of Information” has transformed the business landscape via connectivity and communications. Enterprises could come together to spur innovation in a cooperative or competitive manner. In Industry 4.0, the “Internet of Value” has shown considerable benefits; and, blockchain technology is expected to touch all layers of a business ecosystem, and the construction industry is not an exception.

Design/methodology/approach

This study aims to answer the “How do enterprise blockchain solutions contribute to the vibrancy of the construction ecosystem from social, economic, and environmental aspects?” Following a comprehensive literature review, the Grey Ordinal Priority Approach (OPA-G) is employed in multiple criteria decision analysis (MCDA). OPA-G can select functionally rich enterprise blockchain solutions that meet the needs of the future construction industry, while there is uncertainty in the input data.

Findings

The results from the case study show that organization under observation welcomes an enterprise blockchain solution that delivers services related to “renewable energy certificates” in the context of “smart cities and built environment”. Employing high-ranked blockchain solutions brings vibracy and sustainability to construction ecosystem in terms of “C6. decentralized finance and investment,” “C3. multi-party and cross-industry collaboration,” and “C8. data-driven value creation”.

Originality/value

At the micro level, blockchain solutions automate processes, streamline operations, and build new capacities on a new business model. At the macro level, blockchain creates a vibrant ecosystem based on transparency, decentralization, consensus-based democracy, interoperability, etc. Indeed, the capability of blockchain solutions at an enterprise scale (enterprise blockchain solutions) can shape a new construction ecosystem. The practical implications of current research are preparing executives for a fundamentally different next normal in construction.

1 – 10 of over 4000