Mechanisms of service ecosystem emergence: Exploring the case of public sector digital transformation

Simmonds, Hamish; Gazley, Aaron; Kaartemo, Valtteri; Renton, Michelle; Hooper, Val

doi:10.1016/j.jbusres.2021.08.008

Cited by 31 publications

(10 citation statements)

References 66 publications

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“…In recent years, China's economy has grown rapidly, and China has attached great importance to the development of the digital economy. The scale of China's digital economy reached 5.2 trillion US dollars in 2019, ranking second in the world [2]. In addition, South Korea, India, Canada, Italy, and many others have advanced the digital economy, and the growth of the digital economy is covering the world.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Digital Transformation and Firm Performance in the Context of Sustainability: Mediating Effects Based on Behavioral Integration

Tang

Yang

2022

Journal of Environmental and Public Health

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In order to promote digital industrialization and industrial digitalization, promote the deep integration of digital technology and real economy, and enable the transformation and upgrading of traditional industries and performance improvement, the method of digital transformation and enterprise performance under the sustainable background based on the mediation effect of behavior integration is proposed. This article adopts the case study method, takes Group A as the research object, and excavates the internal and external motivation and transformation path of Group A’s digital transformation by combining the theories of organizational change, process reengineering and enterprise life cycle. Combined with the relevant indicators of four dimensions of balanced scorecard, this article deeply studies the impact of digital transformation on the performance of Group A and its internal mechanism. The experimental results show that compared with Group A before digital transformation, the growth rate of gross margin in 2013 was significantly accelerated, and it has always been in a state of stable growth. However, it fell in 2017, when the year-on-year growth rate of the company’s total operating revenue and costs was more than 50%, but the actual growth rate of operating expenses was about 5% higher than that of operating revenue. The comprehensive score of Group A’s financial performance in 2012 was very low, which did not achieve the desired effect either in terms of growth ability or business strength. In such a situation, Company A began to implement digital transformation, the overall IT system was to carry out a comprehensive reconstruction in the inventory management mode to implement a new model of “sales to production”. By 2013, the financial performance composite score had increased significantly. The comprehensive score of Group A’s financial performance in 2012 was very low, which did not achieve the desired effect either in terms of growth ability or business strength. Under such circumstances, Company A began to implement digital transformation, and the overall IT system was comprehensively reconstructed. In the inventory management mode, the new mode of “sales to production” was implemented. By 2013, the financial performance composite score had increased significantly. Conclusion. Digital transformation drives the performance improvement of Group A. From the financial perspective, digital transformation has improved the profitability and operation capacity of Group A.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Digital Transformation and Firm Performance in the Context of Sustainability: Mediating Effects Based on Behavioral Integration

Tang

Yang

2022

Journal of Environmental and Public Health

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“…Distributed ecosystem 3. User-focused ecosystem System content Provider-defined system of centrally coordinated units (Normann, 1986;Kingman-Brundage et al, 1995) Distributed system of interacting actors (Vargo and Lusch, 2016;Simmonds et al, 2021) The focal user's personally determined system of providers and other actors (Heinonen et al, 2013) System objective Ensuring service quality and efficiency (Parasuraman et al, 1985;Fisk et al, 1993) Co-creating value, service-for-service exchange Vink et al, 2021) Supporting or enabling the focal user's valuecreating process (Heinonen and Strandvik, 2015) Who defines service and value?…”

Section: Identifying User-defined Ecosystemsmentioning

confidence: 99%

“…From this perspective, value is understood as a system-level construct, co-created by multiple actors (Vargo et al , 2017). Thus, individual actors are best understood within their social or societal context (Tronvoll, 2017), and the use of an “individualist ontology” is discouraged (Simmonds et al , 2021, p. 102).…”

Section: Three Perspectives On Ecosystemsmentioning

confidence: 99%

User-defined ecosystems in health and social care

Mickelsson

Särkikangas

Strandvik

et al. 2022

JSM

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Purpose People with complex health conditions must often navigate landscapes of uncoordinated public, private and voluntary health-care providers to obtain the care they need. Complex health conditions frequently transcend the scope of typical health-care service systems. The purpose of this paper is to explore and characterize such unique assemblages of actors and services as “user-defined ecosystems”. Design/methodology/approach Building on literature on customer ecosystems, this paper introduces the concept of the user-defined ecosystem (UDE). Using an abductive approach, the authors apply the concept in an interpretive, qualitative study of ten families with special needs children. Findings This study uncovers complex UDEs, where families actively combine a broad range of services. These ecosystems are unique for each family and extend beyond the scope of designed service ecosystems. Thus, the families are forced to assume an active, coordinating role. Research limitations/implications This paper shows how to identify ecosystems from the user’s point of view, based on the selected user unit (such as a family) and the focal value-creating function of the ecosystem for the user. Social implications This paper highlights how service providers can support and adapt to UDEs and, thus, contribute to user value and well-being. This can be used to understand users’ perspectives on service and systems in health and social care. Originality/value This study develops the concept of the UDE, which represents a customer-focused perspective on actor ecosystems and contrasts it with a provider-focused and a distributed perspective on ecosystems. This study demonstrates the practical usefulness of the conceptualization and provides a foundation for further research on the user’s perspective on ecosystems.

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“…Moreover, the stakes involved in strategic decisions are inherently higher. These determinations can reshape market positions, redefine competitive landscapes, and set the course for organizational growth or contraction (Simmonds et al, 2021). Whether it involves entering new markets, launching innovative products, or restructuring core operations, strategic decisions demand a comprehensive understanding of internal capabilities, external market dynamics, and a nuanced assessment of risks and opportunities.…”

Section: Introductionmentioning

confidence: 99%

Business analytics and decision science: A review of techniques in strategic business decision making

Chidera Victoria Ibeh,

Onyeka Franca Asuzu,

Temidayo Olorunsogo

et al. 2024

World J. Adv. Res. Rev.

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Business analytics and decision science have emerged as pivotal domains in enhancing strategic business decision-making processes. This review delves into various techniques that organizations employ to optimize their operations and achieve competitive advantages. At the forefront of strategic decision-making is data analytics, where vast amounts of data are analyzed to extract valuable insights. Descriptive analytics provides a historical perspective by examining past data trends, enabling businesses to understand their performance over time. This retrospective analysis serves as a foundation for predictive analytics, which utilizes statistical models and machine learning algorithms to forecast future trends and outcomes. By leveraging predictive analytics, organizations can anticipate market shifts, customer preferences, and potential risks, thereby making informed decisions. Prescriptive analytics uses predictive models to guide strategic decision-making, utilizing optimization algorithms and simulation tools to identify optimal actions. Decision science integrates analytical techniques with human judgment, focusing on consumer behavior and psychological factors to tailor marketing strategies and product offerings. Additionally, artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing strategic decision-making by automating complex tasks and providing real-time insights. Natural language processing (NLP) algorithms analyze unstructured data sources, such as customer reviews and social media posts, to extract valuable information and sentiment analysis. This enables businesses to gauge customer satisfaction levels and identify areas for improvement promptly. Decision trees, regression analysis, and clustering techniques are widely used in business analytics to segment customers, identify patterns, forecast sales trends, evaluate alternatives, assess risks, and optimize resource allocation. In conclusion, business analytics and decision science offer a plethora of techniques that empower organizations to make informed, data-driven decisions. By leveraging descriptive, predictive, and prescriptive analytics, along with AI and ML technologies, businesses can navigate complex environments, capitalize on opportunities, and mitigate risks effectively. This review underscores the importance of integrating analytical techniques with human expertise to achieve strategic objectives and sustainable growth.

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Mechanisms of service ecosystem emergence: Exploring the case of public sector digital transformation

Cited by 31 publications

References 66 publications

[Retracted] Digital Transformation and Firm Performance in the Context of Sustainability: Mediating Effects Based on Behavioral Integration

[Retracted] Digital Transformation and Firm Performance in the Context of Sustainability: Mediating Effects Based on Behavioral Integration

User-defined ecosystems in health and social care

Business analytics and decision science: A review of techniques in strategic business decision making

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