Social informatics of intelligent manufacturing ecosystems: A case study of KuteSmart

Ying, Wenchi; Pee, Loo Geok; Jia, Suling

doi:10.1016/j.ijinfomgt.2018.05.002

Cited by 25 publications

(9 citation statements)

References 8 publications

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“…This is most likely because of the potential economic rewards from a successful system. These include: manufacturing, such as the 1992 Nippon Steel example discussed above and clothes manufacturing (Ying, Pee, & Jia, 2018); health care, from Thornett (2001) looking at computer support for general practice to Kao et al 2017on risk factors for cardiac arrest survival; and legal practice (du Plessis & du Toit, 2006).…”

Section: Domainsmentioning

confidence: 99%

Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

Duan

Edwards

Dwivedi

2019

International Journal of Information Management

1,525

554

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Artificial intelligence (AI) has been in existence for over six decades and has experienced AI winters and springs. The rise of super computing power and Big Data technologies appear to have empowered AI in recent years. The new generation of AI is rapidly expanding and has again become an attractive topic for research. This paper aims to identify the challenges associated with the use and impact of revitalised AI based systems for decision making and offer a set of research propositions for information systems (IS) researchers. The paper first provides a view of the history of AI through the relevant papers published in the International Journal of Information Management (IJIM). It then discusses AI for decision making in general and the specific issues regarding the interaction and integration of AI to support or replace human decision makers in particular. To advance research on the use of AI for decision making in the era of Big Data, the paper offers twelve research propositions for IS researchers in terms of conceptual and theoretical development, AI technology-human interaction, and AI implementation.

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Section: Domainsmentioning

confidence: 99%

Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

Duan

Edwards

Dwivedi

2019

International Journal of Information Management

1,525

554

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“…In further research studies, the boundaries of the IMS break through the boundaries of production units such as enterprises and workshops. Ying et al fully emphasizes the importance of an intelligent manufacturing ecosystem based on social cooperation for the sustainable development of intelligent manufacturing [25]. is further illustrates the importance of customer participation in realizing customization functionality in intelligent manufacturing.…”

Section: Literature Reviewmentioning

confidence: 99%

Decision Making for Principal‐Agent Contracts in Intelligent Customization for New Energy Equipment

Meng

Song

Zhao

2019

Mathematical Problems in Engineering

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Intelligent manufacturing is a sustainable impetus to development of customization for new energy equipment. Reasonable principal-agent contract decision making can play a positive role in improving utility for customers and securing their long-term involvement. This paper establishes a multistage principal-agent model of intelligent customization for new energy equipment. The principal-agent and intelligent customization decisions, yielding risk avoidance and a better cost-benefit ratio, emerged from solving the model. A decision modification mechanism, used to improve intelligent customization output and consolidate customer trust, was proposed for agents. Research shows that overavoidance of customization risk by new energy equipment manufacturers reduces the efficiency of intelligent customization and aggravates the cost-benefit dilemma. Viewing intelligent customization as a long-term cooperative process, manufacturers can achieve a larger increase in equipment customization output at a smaller cost and enhance customer trust by adopting such a decision modification mechanism. The effect of this mechanism is obvious when the risk intensity is low. However, under the assumption of a multistage model, improvement of customer utility is mainly influenced by risk controllability. This paper provides solutions to the risk avoidance and cost-benefit dilemma problems of intelligent customization. The static principal-agent model was improved to a multistage model by setting the timeline. Long-term effectiveness of the decision modification mechanism was verified using this multistage model.

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“…An interpretive case study approach was chosen from other approaches available (Galliers, 1995:49). Case study research is more suitable for looking at the social and organisational aspects of IS (Walsham, 1993;Cronin, 2014;Yin, 1989Yin, , 2017Cheng et al, 2017;Yinga et al, 2018;Tan et al, 2018).…”

Section: Research Approachmentioning

confidence: 99%

The role of a digital engineering platform in appropriating the creation of new work-related mind-set and organisational discourse in a large multi-national company

Hussain

Sivarajah

Hussain³

2019

International Journal of Information Management

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CitationHussain ZI, Sivarajah U and Hussain N (2019) The role of a digital engineering platform in appropriating the creation of new work-related mind-set and organisational discourse in a large multi-national company. International Journal of Information Management. 48: 218-225. Rights Crown An innovative in-house organisation-wide digital engineering platform was developed and used in simplifying the operational complexity in a multinational engineering company. Help to regulate and control the running of engineering projects and to create a new work-related mind-set and organisational discourse. It helped the organisation to achieve compliance with major health and safety regulation and to deliver projects more efficiently. Research data were collected using a longitudinal case study approach that spanned over six months. The digital engineering platform has had real influence on working processes and employees at all levels while encouraging transparency, responsiveness, agility and accountability. The digital engineering platform continues to help the organisation to govern, manage and maintain good standard service but many barriers still remain. The digital engineering platform did manage to simplify the workings of different employees and change the work-related mind-set and organisational discourse, by: standardising the stages in involved in running a project; serving as a single platform for undertaking engineering projects; facilitating project-related communication between project workers; introducing a new shared and company-wide discourse;suitable conformity to health and safety standards (ISO9001:2000); and defining the sourcing of materials used in installations. 3The role of a digital engineering platform (DEP) in appropriating the creation of new work-related mind-set and organisational discourse in a large multi-national company Abstract This paper reports on a rare study involving a strategic and innovative approach to creation of an in-house multifaceted digital engineering platform (the DEP) in overcoming a multiple number of organisational problems at a multinational engineering company. The DEP was to be used strategically for simplifying the operational complexity and to create and appropriate new work-related mind-set and new organisational discourse to achieve homogenous working across the organisation, which is a huge challenge. The need for this system emerged from the need to resolve many organisational services related problems that carried phenomenal amount of processes, health and safety risks and to regulate, and, control the running of engineering project. Research data were collected using a longitudinal case study approach over a period of six months. In order to make sense of how the DEP helped the organisation we used certain elements of Extended Structuration Theory. We discovered that the system succeeded in creating and appropriating work-related mind-set and organisational discourse. It also had real influence on working processes and employees at all levels while...

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Social informatics of intelligent manufacturing ecosystems: A case study of KuteSmart

Cited by 25 publications

References 8 publications

Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

Decision Making for Principal‐Agent Contracts in Intelligent Customization for New Energy Equipment

The role of a digital engineering platform in appropriating the creation of new work-related mind-set and organisational discourse in a large multi-national company

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