scholarly journals Value Drivers For Smart Service Technology

2021 ◽  
Author(s):  
Lauren Halloran
Keyword(s):  
Decision Making ◽  
Service Industry ◽  
Service Innovation ◽  
Value Drivers ◽  
Smart Services ◽  
Smart Service

The service industry is rapidly expanding. Organizations that do not innovate through services will be unable to effectively compete in the current marketplace (Bitner et al., 2008). In response, OEMs have developed smart services. Smart services are preemptive actions that are taken by the manufacturers of connected devices based on information collected from sensors embedded in the machines. The success of this service innovation depends on the vendor’s ability to understand and address its clients’ value drivers (Spohrer and Maglio, 2008). This study attempts to understand the factors that lead a customer to value and adopt smart services in the building efficiency industry. The results will show that smart services in the building efficiency industry are valued when the offerings are appropriate for a client’s size; improve on existing decision making technology; are easy to implement; and are believable and reliable.

scholarly journals Value Drivers For Smart Service Technology

2021 ◽  
Author(s):  
Lauren Halloran
Keyword(s):  
Decision Making ◽  
Service Industry ◽  
Service Innovation ◽  
Value Drivers ◽  
Smart Services ◽  
Smart Service

The service industry is rapidly expanding. Organizations that do not innovate through services will be unable to effectively compete in the current marketplace (Bitner et al., 2008). In response, OEMs have developed smart services. Smart services are preemptive actions that are taken by the manufacturers of connected devices based on information collected from sensors embedded in the machines. The success of this service innovation depends on the vendor’s ability to understand and address its clients’ value drivers (Spohrer and Maglio, 2008). This study attempts to understand the factors that lead a customer to value and adopt smart services in the building efficiency industry. The results will show that smart services in the building efficiency industry are valued when the offerings are appropriate for a client’s size; improve on existing decision making technology; are easy to implement; and are believable and reliable.

scholarly journals ENGAGING END USERS IN AN AI-ENABLED SMART SERVICE DESIGN - THE APPLICATION OF THE SMART SERVICE BLUEPRINT SCAPE (SSBS) FRAMEWORK

2021 ◽  
Vol 1 ◽  
pp. 1363-1372
Author(s):  
Fan Li ◽  
Yuan Lu
Keyword(s):  
Decision Making ◽  
Design Process ◽  
End Users ◽  
Social Lives ◽  
Mobility Service ◽  
Ai Ethics ◽  
Smart Service ◽  
Design Case Study ◽  
Diverse Context ◽  
Service Blueprint

AbstractArtificial Intelligence (AI) has expanded in a diverse context, it infiltrates our social lives and is a critical part of algorithmic decision-making. Adopting AI technology, especially AI-enabled design, by end users who are non-AI experts is still limited. The incomprehensible, untransparent decision-making and difficulty of using AI become obstacles which prevent these end users to adopt AI technology. How to design the user experience (UX) based on AI technologies is an interesting topic to explore.This paper investigates how non-AI-expert end users can be engaged in the design process of an AI-enabled application by using a framework called Smart Service Blueprint Scape (SSBS), which aims to establish a bridge between UX and AI systems by mapping and translating AI decisions based on UX. A Dutch mobility service called ‘stUmobiel ’ was taken as a design case study. The goal is to design a reservation platform with stUmobiel end users. Co-creating with case users and assuring them to understand the decision-making and service provisional process of the AI-enabled design is crucial to promote users’ adoption. Furthermore, the concern of AI ethics also arises in the design process and should be discussed in a broader sense.

The fuzzy integrated TOPSIS economy ranking (FITER) model for manufacturing technology development in China

2021 ◽  
pp. 1-13
Author(s):  
Yang GAO ◽  
Xiang GAO
Keyword(s):  
Decision Making ◽  
Information Diffusion ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Technology Development ◽  
Manufacturing Technology ◽  
Technological Advancement ◽  
Ranking Score ◽  
Expansion Level ◽  
High Level

With knowledge perspective of industrial technology, in this paper we propose fast ranking score decision making model based on Fuzzy integrated TOPSIS approach to determine economic growth rate of manufacturing industry in China. This research focuses on driving effects of China’s productive service industry on manufacturing technology innovation. The research results show that the manufacturer service industry takes a high level of information diffusion for the manufacturing industry. It transmits a large amount of diverse information through the unconstrained relationship with the manufacturing industry, thereby forming the economic network with proposed Fuzzy integrated TOPSIS economy ranking (FITER) model and improve the development level of the manufacturing industry. We evaluate the performance of proposed FITER model by comparing ranking score of different manufacturing industry with different existing decision making mode and demonstrate that proposed model represent best ranking score in comparison to existing approach. Result from data analysis motivates driving effect of production services on the technological innovation of manufacturing and sub-sectors. It is found that the innovation and technological advancement in the production industry of services takes drive the overall expansion level of the business industry, as well as make the manufacturing industry the strongest.

Research on Innovation Mechanism and Model of Logistics Enterprise

2010 ◽  
Vol 1 (3) ◽  
pp. 62-87
Author(s):  
Zhang Mu ◽  
Li Wenli ◽  
Luo Jing ◽  
Ye Xiang ◽  
Ren Congying ◽  
...  
Keyword(s):  
Industrial Structure ◽  
Service Industry ◽  
Supply And Demand ◽  
Service Innovation ◽  
Value Added ◽  
Developed Countries ◽  
Logistics Enterprise ◽  
Logistics Service ◽  
Logistics Enterprises ◽  
Innovation Model

As a new field in the service industry, logistics is growing rapidly and is regarded as a fundamental industry in a national economy. Its development is an important symbol of a country’s modernization and national strength. It also works as an accelerator in economic development. At the initial stage of transforming traditional logistics service to a modern logistics service in China, logistics enterprises have encountered many difficulties and problems including an imbalanced supply and demand, distempered industrial structure, faultiness of serving process and backwardness of logistics technology since 2005.Compared with developed countries, there is a great gap between Chinese logistics enterprises and advanced countries’ in the aspects of service concepts, model, and content and techniques. Therefore, based on the service innovation driving model theory, the authors analyze the integrated innovation model of logistics enterprises, logistics technology and network model, and the value-added service model. The authors select Shenzhen China Overseas Logistics Co. LTD (COL) as the empirical object to analyze its operation of technology and non-technology innovation and summarize its inner and outer driving force on promoting service innovation.

How to Develop Electronic Services in the Construction of Chinese Sixth Industries

2014 ◽  
Vol 556-562 ◽  
pp. 6466-6469
Author(s):  
Bang Fan Liu ◽  
Shui Xu
Keyword(s):  
Decision Making ◽  
Public Administration ◽  
Information Society ◽  
Service Industry ◽  
Policy Research ◽  
Institutional Arrangements ◽  
Public Utilities ◽  
The Core ◽  
Modern Service Industry

Electronic services are the sublimation of E-government and E-commerce based on public service.Sixth industry refers to public utilities, mainly refers to public administration services. E-services is an important part of the sixth industry, and the core driver of the sixth industry. The development of electronic services, there are four basic conditions: E-government, E-commerce,information society and the modern service industry Therefore, four major initiatives should be taken, efforts to advance E-services: first, to vigorously promote E-services theory; Second, policy research, institutional arrangements proceed; third, the marriage between government and enterprises to carry out a pilot of E-services; Fourth, the integration of resources, promoting information society. Meanwhile, need to design top-level of party committees and governments and institutional arrangements of decision-making departments.

scholarly journals Employee Participation in Decision-making (PDM) and Firm Performance

2016 ◽  
Vol 9 (7) ◽  
pp. 64 ◽  
Author(s):  
Abdulrahman Alsughayir
Keyword(s):  
Decision Making ◽  
Firm Performance ◽  
Service Industry ◽  
Manufacturing Sector ◽  
Employee Participation ◽  
Likert Scale ◽  
Performance Variables ◽  
Participation In Decision Making ◽  
And Performance ◽  
Sector Data

<p>The objective of this study is to examine the influence of employee participation in decision-making on firm performance in Saudi Arabia’s manufacturing sector. Data were collected through pre-validated, piloted questionnaires, which were e-mailed to 341 manufacturing firms. The questionnaires asked about employee involvement in decision-making and performance variables. The response rate was 63.4 percent. Dimensions of PDM were rendered into 20 statements in the form of a five-point Likert scale. The scale, ranging from no involvement to substantial involvement, measured the degree of PDM. Additionally we used a five-point Likert scale to determine the extent of the firms’ performance in terms of the 10 criteria. The scores of the 10 items were summed and averaged to establish the mean index of the firms’ performance. An index of less than 4.0 was regarded as low firm performance; an index of 4.0 and above was considered to represent high firm performance. Statistical tools were used in analysis. Through product–moment correlation, we examined whether a relationship existed between employee participation in decision-making and firm performance. Regression analysis provided the extent of variation in the dependent variable and Z-test (approximated by the independent samples t-test). Findings showed a significant positive relationship exists between PDM and firm performance, suggesting that PDM is an essential component influencing firm performance. The higher the level of employee participation in decision-making, the higher the level of firm performance.Future studies involving the service industry would shed light on PDM in industries besides manufacturing.</p>

scholarly journals Boosting Service Innovation: The Role of Consultancies

2019 ◽  
Vol 7 (3) ◽  
pp. 41-68
Author(s):  
Manuela Rezende Pinto ◽  
Irina Saur-Amaral ◽  
Carlos Brito
Keyword(s):  
Case Studies ◽  
Service Industry ◽  
Service Innovation ◽  
Previous Literature ◽  
Service Companies ◽  
Innovation Intermediaries ◽  
Key Innovation ◽  
Initial Focus ◽  
Innovation Outcomes

This paper seeks to make a particular contribution in what are the roles of consultancies as key innovation intermediaries in service industry. In line with previous literature, the research purposes to test the application of Pinto et al (2016) framework within service companies, triangulating the findings of Pinto et al (2017). Four in-depth case studies of service companies were developed, resulting on detailed descriptions of the phenomenon using constructs to order the data and relate to earlier literature. Key findings highlight changes in motivations for consultancy engagement, from an initial focus on knowledge (output) to a focus on methodology (process). The adequacy of the framework proposed by Pinto et al (2016) is confirmed, and a new function of intermediaries arises from this study, related with “evaluation of innovation outcomes”. The study highlights the contribution of consultancies in preparing companies to innovate.

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