Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/29996
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zahoor, Nadia | - |
dc.contributor.author | Christofi, Michael | - |
dc.contributor.author | Nwoba, Arinze Christian | - |
dc.contributor.author | Donbesuur, Francis | - |
dc.contributor.author | Miri, Domnan | - |
dc.date.accessioned | 2023-07-27T07:37:23Z | - |
dc.date.available | 2023-07-27T07:37:23Z | - |
dc.date.issued | 2022-01-01 | - |
dc.identifier.citation | Production Planning and Control, 2022 | en_US |
dc.identifier.issn | 09537287 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/29996 | - |
dc.description.abstract | This study investigates to what extent the use of digital technologies affects operational effectiveness of emerging market manufacturing small and medium-sized enterprises (SMEs) via talent management and employee engagement in pandemic time. It also examines whether these SMEs’ strategic decision-making speed strengthens the impact of use of digital technologies of ISAs on talent management. Based on human resource and operations management literature, the conceptual model is developed and the mediation and moderation effects are empirically tested between use of digital technologies, talent management, employee engagement, operational effectiveness and strategic decision-making speed. The model is tested using a sample of manufacturing SMEs operating in Pakistan. The findings suggest that talent management mediates the relationship between the use of digital technologies and employee engagement, thereby leading to operational effectiveness. We also found that strategic decision-making speed moderates the relationship between use of digital technologies and talent management. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Production Planning and Control | en_US |
dc.rights | © Taylor & Francis | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Digital technologies | en_US |
dc.subject | employee engagement | en_US |
dc.subject | operational effectiveness | en_US |
dc.subject | SMEs | en_US |
dc.subject | strategic decision-making speed | en_US |
dc.subject | talent management | en_US |
dc.title | Operational effectiveness in post-pandemic times: Examining the roles of digital technologies, talent management and employee engagement in manufacturing SMEs | en_US |
dc.type | Article | en_US |
dc.collaboration | Queen Mary University of London | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | Loughborough University | en_US |
dc.collaboration | University of Leicester | en_US |
dc.collaboration | Teesside University | en_US |
dc.collaboration | University of Vaasa | en_US |
dc.subject.category | Economics and Business | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.country | United Kingdom | en_US |
dc.country | Finland | en_US |
dc.subject.field | Social Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1080/09537287.2022.2147863 | en_US |
dc.identifier.scopus | 2-s2.0-85142663890 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85142663890 | - |
cut.common.academicyear | 2022-2023 | en_US |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
crisitem.author.dept | Department of Management, Entrepreneurship and Digital Business | - |
crisitem.author.faculty | Faculty of Tourism Management, Hospitality and Entrepreneurship | - |
crisitem.author.orcid | 0000-0002-7457-2701 | - |
crisitem.author.parentorg | Faculty of Tourism Management, Hospitality and Entrepreneurship | - |
Appears in Collections: | Άρθρα/Articles |
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This item is licensed under a Creative Commons License