{"title":"Enhancing delivery: algorithms supporting performance management in the logistics sector","authors":"K. Al-Htaybat, Larissa von Alberti-Alhtaybat","doi":"10.1108/qram-04-2021-0063","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe purpose of this study is to contribute an actor-network-theory (ANT) perspective of how algorithms are used and whether this reflects positively on organisational practices and related perceptions of organisation performance, by both customers and employees. Furthermore, the organisation’s view of adopting algorithms to manage their performance is explored.\n\n\nDesign/methodology/approach\nThe current study is a study set in this virtual space, as it seeks to use data available online from different stakeholders of the case organisation. Online “virtual space” studies have become more common over the past few years. Primary and secondary data are shared online, for instance on relevant rating websites for customers (such as TrustPilot) and employees (such as Indeed), which serve as a reflection of the organisational performance and the communication of their values. This type of study has become more prevalent, either as a study undertaken online fully (Hine, 2007) or partially (for instance Baxter et al., 2019), which provides a different perspective to traditionally carried out face-to-face interactions.\n\n\nFindings\nThe current study has contributed insights from a global case organisation in the logistics sector originating in the Middle East (ME). The case organisation clearly indicates that its algorithm, in line with particular presentations and discussions on online platforms, is focussed on analysing limited factors, which are prediction of accurate delivery timeslot, preferred and precise location for delivery and speed of delivery overall. This reflects an inherent bias of the delivery industry, which the case organisation operates in, and may focus attention on delivering on those objectives, with a detrimental effect on the organisation’s broader organisational mindset. This refers to long-term values and sustainability-related objectives.\n\n\nOriginality/value\nFindings will reflect on whether algorithms can be used to align a multi-national organisation to achieve its desired performance and related desirable results. This will be one of the main contributions of the current study, which engages with a multi-national organisation in the logistics sector that is based in the ME region.\n","PeriodicalId":46537,"journal":{"name":"Qualitative Research in Accounting and Management","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Qualitative Research in Accounting and Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/qram-04-2021-0063","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 1
Abstract
Purpose
The purpose of this study is to contribute an actor-network-theory (ANT) perspective of how algorithms are used and whether this reflects positively on organisational practices and related perceptions of organisation performance, by both customers and employees. Furthermore, the organisation’s view of adopting algorithms to manage their performance is explored.
Design/methodology/approach
The current study is a study set in this virtual space, as it seeks to use data available online from different stakeholders of the case organisation. Online “virtual space” studies have become more common over the past few years. Primary and secondary data are shared online, for instance on relevant rating websites for customers (such as TrustPilot) and employees (such as Indeed), which serve as a reflection of the organisational performance and the communication of their values. This type of study has become more prevalent, either as a study undertaken online fully (Hine, 2007) or partially (for instance Baxter et al., 2019), which provides a different perspective to traditionally carried out face-to-face interactions.
Findings
The current study has contributed insights from a global case organisation in the logistics sector originating in the Middle East (ME). The case organisation clearly indicates that its algorithm, in line with particular presentations and discussions on online platforms, is focussed on analysing limited factors, which are prediction of accurate delivery timeslot, preferred and precise location for delivery and speed of delivery overall. This reflects an inherent bias of the delivery industry, which the case organisation operates in, and may focus attention on delivering on those objectives, with a detrimental effect on the organisation’s broader organisational mindset. This refers to long-term values and sustainability-related objectives.
Originality/value
Findings will reflect on whether algorithms can be used to align a multi-national organisation to achieve its desired performance and related desirable results. This will be one of the main contributions of the current study, which engages with a multi-national organisation in the logistics sector that is based in the ME region.
期刊介绍：
Qualitative Research in Accounting & Management is an international journal that promotes qualitative research at the interface of accounting and management. The journal encourages the assessment of practices in the accounting field through a variety of theoretical lenses, and seeks to further our knowledge of the accounting-management nexus in its broadest (e.g., organisational, social and political) contexts. QRAM welcomes submissions of original research papers, conceptual pieces, substantive review articles, and shorter papers such as comments or research notes. The following is intended to indicate potential topics, but is by no means prescriptive. These topics can be overlapping rather than discrete subject areas, and researchers should not feel restricted by the scope of the topics listed below. • Management accounting and control • Accountability, transition and organisational change • Performance management and accounting metrics • Accounting for strategic management • The use and behavioural effects of accounting information in organisational decision-making • Public and third sector accounting and management • Accounting and management controls for sustainability and the environment • Historical perspectives on the accounting-management interface • Methods and methodologies for research at the interface of accounting and management • Accounting and management in developing countries and emerging economies • Technology effects on accounting-management dynamics
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