Search results
1 – 3 of 3Alasdair Marshall, Udechukwu Ojiako, Tony Abdoush, Nicholas Vasilakos and Maxwell Chipulu
This paper aims to draw on historical conceptions of true and false prudence within the broader context of virtue ethics ideas, to create a prudence framework for developing…
Abstract
Purpose
This paper aims to draw on historical conceptions of true and false prudence within the broader context of virtue ethics ideas, to create a prudence framework for developing risk-and-ethics cultures in organisations.
Design/methodology/approach
The authors use a theoretical analytical approach as a means of examining plausible representations of risk as ethical practice.
Findings
While the ethical ideal of true prudence is explained primarily with reference to psychological theories of generativity, false prudence is explained as undesirable, primarily with reference to psychological problems of narcissism and the broader dark triad. True and false prudence are represented as centring upon very different motivations for foresight, each of which might set the cultural tone for organisational risk management.
Originality/value
This paper’s main contribution is therefore to call attention to the benefits for organisations of reflecting upon differences between true and false prudence when planning the risk management they want.
Details
Keywords
Deden Sumirat Hidayat, Winaring Suryo Satuti, Dana Indra Sensuse, Damayanti Elisabeth and Lintang Matahari Hasani
Fish quarantine is a measure to prevent the entry and spread of quarantine fish pests and diseases abroad and from one area to another within Indonesia's territory. Based on these…
Abstract
Purpose
Fish quarantine is a measure to prevent the entry and spread of quarantine fish pests and diseases abroad and from one area to another within Indonesia's territory. Based on these backgrounds, this study aims to identify the knowledge, knowledge management (KM) processes and knowledge management system (KMS) priority needs for quarantine fish and other fishery products measures (QMFFP) and then develop a classification model and web-based decision support system (DSS) for QMFFP decisions.
Design/methodology/approach
This research methodology uses combination approaches, namely, contingency factor analysis (CFA), the cross-industry standard process for data mining (CRISP-DM) and knowledge management system development life cycle (KMSDLC). The CFA for KM solution design is performed by identifying KM processes and KMS priorities. The CRISP-DM for decision classification model is done by using a decision tree algorithm. The KMSDLC is used to develop a web-based DSS.
Findings
The highest priority requirements of KM technology for QMFFP are data mining and DSS with predictive features. The main finding of this study is to show that web-based DSS (functions and outputs) can support and accelerate QMFFP decisions by regulations and field practice needs. The DSS was developed using the CTree algorithm model, which has six main attributes and eight rules.
Originality/value
This study proposes a novel comprehensive framework for developing DSS (combination of CFA, CRISP-DM and KMSDLC), a novel classification model resulting from comparing two decision tree algorithms and a novel web-based DSS for QMFFP.
Details
Keywords
Alexander Neff, Patrick Weber and Daniel Werth
The initial observation of this study is the gap of research in the economic application of data spaces in wholesale. With the lowering threshold in using digital technology in…
Abstract
Purpose
The initial observation of this study is the gap of research in the economic application of data spaces in wholesale. With the lowering threshold in using digital technology in innovative services wholesale is confronted with new competition in their main business – the purchase and sale of products in large numbers. Wholesale must advance in their own business creating new digital services for their customers to stay relevant competitors in their markets.
Design/methodology/approach
The design follows an explorative, heuristic and interdisciplinary approach (social sciences and in-formation systems) of a multiple case study combining semi-structured, open and participating observation in three case studies. The cases were set in tourism, construction, as well as manufacturing and were each scientifically accompanied for more than one year during the identification of implementation of strategies for data spaces as digital entrepreneurial path.
Findings
The study shows four strategies in the implementation of data spaces in traditional wholesale. These data spaces have their focus in (1) the traded commodity with two specificities (1a and 1b), (2) the customer and (3) the cooperation of an ecosystem of companies. Each have their own challenges, chances and specifications like the data sovereignty. These strategies are embedded in the behavior of digital entrepreneurship.
Originality/value
This study accompanied and observed the entrepreneurial strategies of three wholesalers discovering new opportunities enabled via data spaces. These three strategies follow different approaches offering potentials for other wholesalers.
Details