Wiesweg, N; Schäpers, P; Bernhold, T and Hartmann, T (2024) On the challenges of inter-organisational data in real estate: The role of knowledge sharing. Engineering, Construction and Architectural Management, 31(1), pp. 247-263. ISSN 0969-9988
Abstract
Purpose: To take full advantage of new technologies (e.g. machine learning), a consistent and more comprehensive knowledge sharing across organisational boundaries is required. The real estate industry often faces this challenge as well. The paper aims to approach this circumstance by analysing the real estate supply chain (RESC) and aims to identify ways to achieve a more disruption-free flow of information. Design/methodology/approach: To answer the research question, a cross-sectional study was conducted using a standardised online questionnaire and structural equation modelling. The majority of the study participants came from German-speaking countries. The structural equation model was used to examine the relationships between the factors inter-organisational relationship, knowledge sharing skills and knowledge sharing. Findings: The authors found that inter-organisational relationship has a significant influence on knowledge sharing and thus on the occurrence of information flow disruptions. Aligning shared goals of parties plays a major role to improve inter-organisational relationship. Control and supervision does not show any significant effect. Knowledge sharing skills in turn have an influence on knowledge sharing. Practical implications: The alignment of interests and the creation of trust should be established in the future as core elements within the framework of contract negotiations, the lived contract and the contract itself, in order to reduce disruptions in the flow of information. Originality/value: From the perspective of knowledge sharing, this study attempts to identify necessities within the framework of contractual design options that simplify and promote the inter-organisational use of algorithms to increase transactional efficiency.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | knowledge management; questionnaire survey; strategic management; supply chain; technology |
| Index terms: | structural equation modelling, face, knowledge sharing, information flow, survey, machine learning, knowledge management, boundaries, strategic management, methodology, questionnaire, contract negotiation, efficiency, new technology, supervision, option, real estate, structural equation model |
| Subjects: | control systems, data collection methods, knowledge management, property law, innovation and technology management, artificial intelligence, real estate economics, psychology, contract management, professional development, performance management, research methods, management, statistical analysis, information systems, decision analysis |
| Topics: | Digital Applications, Urban Studies, Legal Issues, Quality Management, Contract Administration, Organizational Design, Business Strategy, Information Management, Engineering Principles, Research Practice, Project Management, Risk Management |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here