Cognisant computing and 'lean' practices: interactions with 21st century businesses and implications

Ogu, Emmanuel C.; Benita, Amos; Uduakobong, Edy Ewoh

doi:10.1504/ijbis.2018.089115

Cited by 5 publications

(2 citation statements)

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“…This goal displays the improved ability to capture (i.e. to sense) the requirements of each single customer through activities such as usage monitoring, virtual product development (a), and data analytics (b) (Bordeleau, Mosconi, and de Santa-Eulalia 2020; Müller et al 2018;Ogu et al 2018). Such increased customer proximity, categorized as a goal per se, has to be distinguished from the ability to respond effectively to customer requirements by means of product or content customization, which is dealt with in the following two items (Product Customization and Content Customization).…”

Section: Goalsmentioning

confidence: 99%

Industry’s 4.0 transformation process: how to start, where to aim, what to be aware of

Calabrese

Dora

Ghiron

et al. 2020

Production Planning & Control

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Industry 4.0 has fused digitalisation with traditional industrial processes bridging the physical and virtual worlds and opening unimagined possibilities for 21st century business growth. Research is still evolving toward the development of frameworks linking Industry's 4.0 enabling technologies to specific goals and to their impact on the manufacturers' businesses. A systematic review of all peer-reviewed managerial research is performed to extract Industry's 4.0 enabling technologies, barriers and goals. A framework linking technologies, barriers, and goals is then developed together with a web application based on its contents. The use of the framework is demonstrated through its application to two specific empirical case studies. The review shows that there are 9 classes of Industry's 4.0 enabling technologies, whose different arrangements lead to the achievement of up to 15 business goals that can be thwarted by 21 barriers. The pursuit of these goals leads to three different destinations, i.e., three diverse digital transformations of the manufacturing firms. This paper provides a holistic framework that analyses the relationships among Industry's 4.0 enabling technologies, barriers and goals. It appeals to managers who can use its contents along with the web application to derive recommendations and suggestions tailored to their Industry's 4.0 journeys.

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Section: Goalsmentioning

confidence: 99%

Industry’s 4.0 transformation process: how to start, where to aim, what to be aware of

Calabrese

Dora

Ghiron

et al. 2020

Production Planning & Control

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show abstract

“…Today, as was predicted in the early days (Nigeria Communications Week, 2014), this emerging technology has revolutionized the mobile computing industry, through a transformative strategy that enables the design of mobile applications that are more consumer-/user-aware (Bolkan, 2014) across their entire spectrum and routine of operations. Beyond this, existing research has further conceptualized the utilities that this paradigm is able to bring to particular fields of human endeavour, such as in manufacturing, for informing lean thinking/practices to cut down wastage in production operations, while at the same time scaling system-wide Industry 4.0 digital transformations (Ogu et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

Cognizant computing + transformative marketing: an intelligent solution for sustainable business development

Onyia

Ogu

2021

BPMJ

Self Cite

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Introduction and backgroundCognizant computing (CC), a revolutionary computing paradigm, which is still in its nascent stages of development, has heralded tremendous utilities and benefits for several areas of business endeavours. From production and manufacturing through lean practices to advertising and sales by way of consumer behaviour analytics, recent research lends credence to earlier assertions of the transformations that CC is able to bring to modern business practices. Indeed, much of the foundational technological capabilities that are needed to scale the impact and utilities of CC are already in place, such as the ability for devices to act "smart", i.e. receive instructions and take action by setting alarms and reminders, make payments for goods and services, contact particular individuals, open applications and carry out operations, posting and sending information, etc. (Ronkowitz, 2013); all these technologies are based on data that can be collected locally and then provisioned, accessed and processed ubiquitously.Awodele et al. (2014) define CC as a consumer-centred computing paradigm that applies the personalization of services on an individualistic level to meet the specific needs of consumers by enhancing their experience. This definition is in tandem with that given by Volico (2017), and they both present the idea that digital systems, through simple rule-based computational algorithms (The Economic Times, 2014), are able to take decisions that mirror the best choices or preferences of consumers under certain transactional circumstances/ situations, typically by analysing their digital footprint (data) to deduce patterns in their decisions from antecedent similar situations.One of the early research studies that featured the idea of CC was a market research study by Gartner (Ekholm, 2013), although, in a general sense, the concept of "cognizant" as a technological term was not particularly new/unheard at the time. This term generally embodies the concept of a system or application being "aware" of a particular operational or behavioural reality and ultimately applies that awareness in taking/enforcing decisions and constraints that are in the best interest of particular subjects.In the context of CC, this "awareness" is consumer-focused. The utility that CC presents is fundamentally a function of the depth and quality of the digital data that are available for processing about consumers; the available data may be collected, processed and stored locally on the users' device(s) or delocalized in the cloud. Then, these data are fed into larger platforms and operating systems/processes to create an ecosystem of functions, operations and realities that are relevant to particular consumer experiences across a wide range of contexts, devices and utilities (Bremmen, 2013). This is made possible by two foundational emerging technologies (Awodele et al., 2014): the Internet of Things (IoT), which pervasively accumulates client/user data from across BPMJ 27,6 1926 Author contributions: VOB contribu...

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Lean manufacturing and Industry 4.0 combinative application: Practices and perceived benefits

et al. 2021

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Cognisant computing and 'lean' practices: interactions with 21st century businesses and implications

Cited by 5 publications

References 0 publications

Industry’s 4.0 transformation process: how to start, where to aim, what to be aware of

Industry’s 4.0 transformation process: how to start, where to aim, what to be aware of

Cognizant computing + transformative marketing: an intelligent solution for sustainable business development

Lean manufacturing and Industry 4.0 combinative application: Practices and perceived benefits

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