Accountable algorithms? The ethical implications of data-driven business models

2020 ◽  
Vol 31 (2) ◽  
pp. 163-185 ◽  
Author(s):  
Christoph F. Breidbach ◽  
Paul Maglio
Keyword(s):  
Machine Learning ◽  
Business Models ◽  
Analytical Framework ◽  
Data Driven ◽  
Service Research ◽  
Future Research ◽  
Cost Models ◽  
Ethical Challenges ◽  
Content Type ◽  
Ethical Implications

PurposeThe purpose of this study is to identify, analyze and explain the ethical implications that can result from the datafication of service.Design/methodology/approachThis 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.FindingsThe 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 implicationsFuture research based on the framework can help guide practitioners to implement and use advanced analytics more effectively and ethically.Originality/valueAt 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.

scholarly journals Suggesting a service research agenda in sports tourism: working experience(s) into business models

2017 ◽  
Vol 7 (1) ◽  
pp. 58-76 ◽  
Author(s):  
Marko Perić ◽  
Nicholas Wise ◽  
Daniel Dragičević
Keyword(s):  
Research Agenda ◽  
Business Models ◽  
Service Research ◽  
Future Research ◽  
Sport Tourism ◽  
Content Type ◽  
Tourism Management ◽  
Different Types ◽  
Research Questions ◽  
Holistic Research

Purpose Business models describe how value is delivered to customers/consumers. When considering sport tourism, the focus on delivering value shifts to the sport experiences being offered in a destination. The purpose of this paper is to fulfil a void that links concept of business models to the area of sport tourism management by integrating notions of experience. Design/methodology/approach To merge these areas, a review of literature identifies key approaches and missing links. This paper determines research gaps to propose a new holistic research agenda for sport services – specifically relevant to sport tourism. Findings This paper addresses types of sport experiences, economic dimensions of experiences and business models to determine capabilities of delivering different types of experiences. These inter-related fields of analysis represent a platform for both academic and business stakeholders to shape the future of delivering sport tourism experiences based on seeking a wider range of motivations in a specific spatial and activity context. Originality/value A series of research questions and proposals are identified to support the need for future research. Extending understandings of experience in relation to consumer demand has the potential to result in practical elements of sought after experiences being incorporated into business models – aimed at delivering service value.

scholarly journals “Futurizing” smart service: implications for service researchers and managers

2015 ◽  
Vol 29 (6/7) ◽  
pp. 442-447 ◽  
Author(s):  
Nancy V. Wuenderlich ◽  
Kristina Heinonen ◽  
Amy L. Ostrom ◽  
Lia Patricio ◽  
Rui Sousa ◽  
...  
Keyword(s):  
Business Models ◽  
Marketing Research ◽  
Service Research ◽  
Future Research ◽  
Extensive Literature ◽  
Time Data ◽  
Smart Services ◽  
Content Type ◽  
Future Research Agenda ◽  
Smart Service

Purpose – The purpose of this paper is to craft a future research agenda to advance smart service research and practice. Smart services are delivered to or via intelligent objects that feature awareness and connectivity. For service researchers and managers, one of the most fascinating aspects of smart service provision is that the connected object is able to sense its own condition and its surroundings and thus allows for real-time data collection, continuous communication and interactive feedback. Design/methodology/approach – This article is based on discussions in the workshop on “Fresh perspectives on technology in service” at the International Network of Service Researchers on September 26, 2014 at CTF, Karlstad, Sweden. The paper summarizes the discussion on smart services, adds an extensive literature review, provides examples from business practice and develops a structured approach to new research avenues. Findings – We propose that smart services vary on their individual level of autonomous decision-making, visibility and embeddedness in objects and customer lives. Based on a discussion of these characteristics, we identify research avenues regarding the perception and nature of smart services, the adoption of smart services, the innovation through smart services as well as regarding the development of new business models. Originality/value – Smart services is a new emerging topic in service marketing research, their implications on organizations, customers and the service landscape have not been fully explored. We provide a fresh perspective on service research by characterizing relevant aspects of smart service that will stimulate fruitful future research and advance the understanding and practice of smart services.

Digital transformation of organizations: what do we know and where to go next?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Monika Jedynak ◽  
Wojciech Czakon ◽  
Aneta Kuźniarska ◽  
Karolina Mania
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Business Models ◽  
Grey Literature ◽  
Blind Spot ◽  
Digital Transformation ◽  
Academic Disciplines ◽  
Future Research ◽  
Content Type ◽  
Management Domain

PurposeThe purpose of this paper is to identify the development of the digital transformation literature and to the systematic literature review methodology.Design/methodology/approachThe authors run a systematic literature review, followed by a rigorous thematic analysis of both academic and grey literature dataset, in order to develop a conceptual map of organizations' digital transformation. The authors aggregate the concepts and topics identified across the literature to find that they overwhelmingly tackle digital business models. At the same time, the authors identify a major blind spot resulting from ignoring the organization itself as a unit of analysis.FindingsThe findings show that developing a digital theory of the organization or the theory of digitally transformed organization is a major challenge to management researchers. The analysis exposed numerous research gaps that can be helpful for future research directions.Originality/valueDigital transformation research enjoys an increasingly rapid rise to recognition across many academic disciplines and strongly impacts the management domain. adopt the view that published documents reflect the collective understanding of a phenomenon. This paper contributes to filtering the digital transformation literature, clarify complex relation between digital transformations of organizations and identify the key blind points.

Big data-driven strategic orientation in international marketing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
International Marketing ◽  
Strategic Orientation ◽  
Data Driven ◽  
Future Research ◽  
Content Type ◽  
Strategic Orientations ◽  
Marketing Activities

PurposeBig data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.Design/methodology/approachThe study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.FindingsThe findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.Research limitations/implicationsThe study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.Originality/valueThe study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

Emerging trends in digital transformation: a bibliometric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raghu Nandan Chawla ◽  
Praveen Goyal
Keyword(s):  
Bibliometric Analysis ◽  
Business Models ◽  
Digital Technologies ◽  
Citation Network ◽  
Digital Transformation ◽  
Intellectual Structure ◽  
Future Research ◽  
Strategic Decisions ◽  
Content Type ◽  
Research Areas

PurposeUbiquitous digital technologies are driving organisations to embrace non-traditional digitally transformed business models incessantly. Heterogeneous literature contributions have resulted in a spur in the research related to business transformation driven by digital technologies in recent years; consequently, the research under the digital transformation (DT), even though becoming a hotspot, remains very fragmented. The authors endeavour to holistically present the literature's intellectual structure under DT as a concept, its evolving journey and the emerging research streams in the business and management domains using the techniques of bibliometric analysis.Design/methodology/approachBy performing bibliometric analysis on 234 research articles published over the last 20 years in the DT domain, retrieved from Thompson Reuters Web of Science TM, this study culls out thorough insights from the citation, co-citation and keyword analysis. Further emerging research streams were evaluated using VOSviewer software.FindingsThe study depicts an overall incremental trend of year-on-year publications, authors' performance, publication journals, associated institutions and research driving countries, along with key insights from co-citation network analysis. Furthermore, the study evaluates four research areas – organisational impacts, applied applications and insights, operational processes and social aspects, comprising eighteen research streams that comprehensively cover-up research under the DT domain.Research limitations/implicationsThe study contributes to the literature of DT by amalgamating the status of the present research, but more importantly, by deriving the research areas and research streams, which can be further expanded by researchers as future research streams.Practical implicationsFor the practitioners, the study aims to act as a ready reckoner repository with practice-oriented literature references to facilitate them building knowledge and taking effective strategic decisions to harness the benefits of DT more proficiently.Originality/valueThis study illustrates the bibliometric structure of the DT literature and presents insights from the growth of the literature year-on-year.

Drivers, types and value outcomes of customer-to-customer interaction

2018 ◽  
Vol 28 (6) ◽  
pp. 710-732 ◽  
Author(s):  
Kristina Heinonen ◽  
Elina Jaakkola ◽  
Irina Neganova
Keyword(s):  
Customer Value ◽  
Empirical Studies ◽  
Service Research ◽  
Future Research ◽  
Content Type ◽  
Integrative Framework ◽  
Customer Interaction ◽  
Interaction Research ◽  
Practical Implications

PurposeCustomer-to-customer (C2C) interaction plays a significant role in service. The purpose of this paper is to identify the drivers that motivate customers to interact with other customers, the interactions through which customers affect other customers and the value outcomes of C2C interactions for the participants.Design/methodology/approachThe paper is based on a systematic literature review of C2C interactions. The authors analyzed 142 peer-reviewed articles to synthesize existing knowledge about C2C interactions. A generic value framework is used to categorize earlier research and reveal areas for further research.FindingsThe main outcome of this study is an integrative framework of C2C interaction that bridges C2C interactions and customer value. The findings indicate customer-, firm- and situation-induced drivers of C2C interactions. Outcome- and process-focused C2C interactions are identified to result in functional, emotional and social value outcomes. Avenues for additional research to explore issues related to current technology-saturated service settings are proposed.Research limitations/implicationsThe paper proposes an agenda for future research to extend the C2C interaction research domain and explore how such interactions create value for the customer. The role of the service provider is not explicitly addressed but is an important area for further research.Practical implicationsCompanies can use the framework to understand how they can become involved in and support beneficial C2C interaction.Originality/valueThis paper reviews empirical studies on C2C interaction, offering a systematic review of C2C interaction and producing an integrative framework of C2C interaction. It identifies a research agenda based on the framework and on topical issues within service research and practice.

The roles of emerging multinational companies’ technology-driven FDIs in their learning processes for innovation

2019 ◽  
Vol 14 (1) ◽  
pp. 91-114 ◽  
Author(s):  
Ju Liu
Keyword(s):  
Learning Process ◽  
Explanatory Power ◽  
Analytical Framework ◽  
Multinational Companies ◽  
Learning Processes ◽  
Comparative Case Study ◽  
Future Research ◽  
Global Knowledge ◽  
Content Type ◽  
Capability Building

Purpose The purpose of this paper is to contextually theorise the different patterns of emerging multinational companies’ (EMNCs’) learning processes for innovation and the different influences of their technology-driven FDIs (TFDIs) on the processes. Design/methodology/approach A comparative case study method and process tracing technique are employed to investigate how and why firms’ learning processes for innovation took place, how and why the TFDIs emerged and influenced the firms’ learning processes in different ways. Findings The paper identifies two different patterns of learning process for innovation (Glider model vs Helicopter model) and two different roles of the case firms’ TFDIs (accelerator vs starter) in the different contexts of their learning processes. It is found that the capability building of the domestic wind energy industry has an important influence on the case of EMNCs’ learning processes and thus on the roles of their TFDIs. Research limitations/implications The limitation of the paper lies in its small number of cases in a specific industry of a specific country. The two contextually identified learning models and roles of TFDIs may not be applied to other industries or other countries. Future research should investigate more cases in broader sectoral and geographic scope to test the models and also to identify new models. Practical implications For EMNCs, who wants to use the Helicopter model to rapidly gain production and innovation capability, cross-cultural management and integration management are crucial to practitioners. For emerging countries with ambitions to explore the global knowledge and technology pool, besides of the EMNC’s capability building, the capability building in the domestic industries should not be overlooked by policy makers. Originality/value The paper develops a dynamic and contextual analytical framework which helps to answer the important questions about how and under what context a TFDI emerges and influences firm’s learning process for innovation. It theorises the EMNCs’ learning process and TFDIs in the context of the development of the domestic industry. It strengthens the explanatory power of the learning-based view and adds new knowledge to the current FSA/CSA discourse in the international business literature.

scholarly journals Toward a public service management: past, present, and future directions

2017 ◽  
Vol 28 (5) ◽  
pp. 998-1023 ◽  
Author(s):  
Ian R. Hodgkinson ◽  
Claire Hannibal ◽  
Byron W. Keating ◽  
Rosamund Chester Buxton ◽  
Nicola Bateman
Keyword(s):  
Public Service ◽  
Service Management ◽  
Public Services ◽  
Service Research ◽  
Future Research ◽  
Complex Nature ◽  
Management Research ◽  
Future Directions ◽  
Content Type ◽  
The Public

Purpose In providing a fine-grained analysis of public service management, the purpose of this paper is to make an important contribution to furthering research in service management, a body of literature that has tended to regard public services as homogenous or to neglect the context altogether. Design/methodology/approach Integrating public management and service management literatures, the past and present of public service management are discussed. Future directions for the field are outlined drawing on a service-dominant approach that has the potential to transform public services. Invited commentaries augment the review. Findings The review presents the Public Service Network Framework to capture the public value network in its abstraction and conceptualizes how value is created in public services. The study identifies current shortcomings in the field and offers a series of directions for future research where service management theory can contribute greatly. Research limitations/implications The review encourages service management research to examine the dynamic, diverse, and complex nature of public services and to recognize the importance of this context. The review calls for an interdisciplinary public service management community to develop, and to assist public managers in leveraging service logic. Originality/value The review positions service research in the public sector, makes explicit the role of complex networks in value creation, argues for wider engagement with public service management, and offers future research directions to advance public service management research.

scholarly journals Carsharing: a systematic literature review and research agenda

2021 ◽  
Vol 32 (6) ◽  
pp. 55-91
Author(s):  
Brenda Nansubuga ◽  
Christian Kowalkowski
Keyword(s):  
Literature Review ◽  
Business Models ◽  
Theory And Practice ◽  
Service Research ◽  
Policy Makers ◽  
Content Type ◽  
Customer Base ◽  
State Of Research ◽  
Systematic Selection ◽  
Future Work

PurposeFollowing the recent surge in research on carsharing, the paper synthesizes this growing literature to provide a comprehensive understanding of the current state of research and to identify directions for future work. Specifically, this study details implications for service theory and practice.Design/methodology/approachSystematic selection and analysis of 279 papers from the existing literature, published between 1996 and 2020.FindingsThe literature review identified four key themes: business models, drivers and barriers, customer behavior, and vehicle balancing.Practical implicationsFor managers, the study illuminates the importance of collaboration among stakeholders within the automotive sector for purposes of widening their customer base and maximizing utilization and profits. For policy makers, their important role in supporting carsharing take-off is highlighted with emphasis on balancing support rendered to different mobility services to promote mutual success.Originality/valueThis is the first systematic multi-disciplinary literature review of carsharing. It integrates insights from transportation, environmental, and business studies, identifying gaps in the existing research and specifically suggesting implications for service research.

scholarly journals Transformative service research: a conceptual framework based on consumer's perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Veronica Ungaro ◽  
Laura Di Pietro ◽  
Maria Francesca Renzi ◽  
Roberta Guglielmetti Mugion ◽  
Maria Giovina Pasca
Keyword(s):  
Conceptual Framework ◽  
Well Being ◽  
Service Research ◽  
Future Research ◽  
Bottom Line ◽  
Content Type ◽  
Consumer Perspective ◽  
Social Environmental ◽  
The Relationship ◽  
Depth Interviews

PurposeThis study aims to investigate the consumer's perspective regarding the relationship between services and well-being, contributing to the knowledge base in transformative service research (TSR). More specifically the aim was to understand consumers' perceptions of the relationship between services and well-being and their views about how companies can contribute (directly and/or indirectly) to achieve the well-being.Design/methodology/approachTo reach the research aim, the study adopts an explorative inductive design, carried out through a qualitative approach and grounded in 30 in-depth interviews with consumers.FindingsService sustainability represents the fundamental characteristic that determines the service ability to be transformative, requiring the implementation of the triple bottom line dimensions: social, environmental and economic. It emerged that, in the consumer's mind, the service categories that present a stronger relationship between service and well-being are as follows: healthcare, financial and transport.Originality/valueThe paper proposes a conceptual framework to describe the consumer perspective of the services' transformative role in promoting well-being, providing a theoretical lens for conducting future research and continuing to expand transformative service research (TSR).

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