Towards Developing a Decision-Making Tool for Technology and Knowledge Priorities

Takala, Josu; Tilabi, Sara

doi:10.23925/2179-3565.2019v10i3p166-177

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…Developing a tool for technology and knowledge decision-making activities. In this regard, this work is built upon previous works that propose a method to prioritize technology investment and validate it in high-tech start-ups [22]. What is new here is that the proposed model is applied to a multinational large-size firm in a more conventional industry and the obtained results proved that the model is applicable both in general and in a conventional manufacturing industry.…”

Section: Discussionmentioning

confidence: 80%

Technology Development Process and Managing Uncertainties With Sustainable Competitive Advantage Approach

Tilabi¹,

Tasmin²,

Takala³

et al. 2019

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Keywords: Sustainable Competitive Advantage (SCA), SCA risk level, knowledge and technology effect, manufacture strategy index, product and process development cycle Abstract: The main purpose of this research work is to assist the decision-making process which is related to technology and knowledge factor within an organization. The data has been gathered and analysed from a particular multinational company that operates in the ceramic manufacturing industry within Malaysia. Four respondents were sought to answer the sense-and-respond questionnaire, including the part on technology sharing. The priority among technology types, including basic, core, and spearhead was decided by the maximum coefficient of the variance. The work has two main contributions: 1. It proposes and validates a tool for decisions and strategies related to technology focus in firms, and 2. expands the notion of technology types from focusing only on product development to one that focuses on both product and process development. The results of the study show that the proposed model which was previously applied in high tech start-ups and local medium-size enterprises is applicable in large industries involved in mass production.

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Section: Discussionmentioning

confidence: 80%

Technology Development Process and Managing Uncertainties With Sustainable Competitive Advantage Approach

Tilabi¹,

Tasmin²,

Takala³

et al. 2019

Self Cite

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“…In fact, it shows which technology supports company business strategy (cost reduction or differentiation) more and which not. The model has been implemented successfully previously in two high-tech starts ups [29] and this research applies that in more conventional industry. Since technology is one of the main drives of competition [2], the decision about that is crucial.…”

Section: Discussionmentioning

confidence: 99%

Management and Production Engineering Review

Tilabi,

Tasmin,

Takala

et al. 2019

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The focus of this paper is to propose a method for prioritizing knowledge and technology factor in companies' business strategy. The data has been gathered and analyzed from Malaysian-owned company of medium size type industry, employing around 250 employees and listed in the Malaysian Bourse Stock of Exchange, since 2000. Sense and respond model is used to determine competitive priorities of the firms. Then knowledge and technology part of sense and respond questionnaire is used to calculate the variability coefficient i.e. the uncertainty caused by technology and knowledge factor. The results show that the company is not leading in term of technology (spear head technology share is around 33%). Therefore, the enhancement of technology and knowledge to SCA values is not significantly seen in this study. The usage of the core technologies is around 41% and it might seem relatively enough. In terms of basic technology, while its share is the lowest (around 25%), it has the highest source of uncertainties among technology types. In this case, the proposed model helped to have a clear and precise improvement plan towards prioritizing technology and knowledge focus.

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“…Research that examines and analytically evaluates various alternatives for making purchasing decisions on the characteristics of users and products. Evaluate technology and knowledge factors and then relate them to the company's business strategy to show how technology and knowledge decisions reflect uncertainty (Takala & Tilabi, 2018). For this reason, managing uncertainty for business strategy is very important because it can replace traditional risk management.…”

Section: Decision Making Using Hierarchical Analytical Processes To E...mentioning

confidence: 99%

Decision Making Using Hierarchical Analytical Processes to Evaluate Computer Management Performance

Hantoro²,

Suryani³

2022

Jiforty

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The presence of PC computers since the 80s with its rapid and very widespread growth can be seen as a one of the most significant developments in the field of information and communication technology. This study aims to propose decision making using the Analytical Hierarchy Process approach to evaluate computer computers with respect to using the order of preference of the user. To get the most desirable features that affect the decision to choose a computer to be identified. This is realized through a survey conducted on the target group, experienced experts in the telecommunications sector and literature study. The AHP method was then used in the evaluation procedure. Analytical Hierarchy Process (AHP) was applied to determine the relative weight of the evaluation criteria applied to rank computer alternatives. The results of this case study illustrate the effectiveness of the proposed computer management performance selection.

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Towards Developing a Decision-Making Tool for Technology and Knowledge Priorities

Cited by 4 publications

References 7 publications

Technology Development Process and Managing Uncertainties With Sustainable Competitive Advantage Approach

Technology Development Process and Managing Uncertainties With Sustainable Competitive Advantage Approach

Management and Production Engineering Review

Decision Making Using Hierarchical Analytical Processes to Evaluate Computer Management Performance

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