Through a study of the butcher trade, this article addresses a neglected area in work and organization by exploring the meanings that men, working as employees, give to 'dirty work' i.e. jobs or roles that are seen as distasteful or 'undesirable'. Based on qualitative data, we identify three themes from butchers' accounts that relate to work based meanings: orthodoxy of work, acceptance and choice and physicality, dirt and loss. We argue that notions of sacrifice help us understand some of the meanings men attach to dirty, manual workforming part of a working class 'habitus' that crystallizes past, present and future. Further, we show how meanings relating to sacrifice are illustrative of ways of 'doing' working class masculinity in this context.
In recent years Government departments and public/private organisations are becoming increasingly transparent with their data to establish the whole new paradigm of big open data. Increasing research interest arises from the claimed usability of big open data in improving public sector reforms, facilitating innovation, improving supplier and distribution networks and creating resilient supply chains that help improve the eiciency of public services. Despite the advantages of big open data for supply chain and operations management, there is severe shortage of empirical analyses in this ield, especially with regard to its acceptance. To address this gap, in this paper we use an extended technology acceptance model to empirically examine the factors afecting users' behavioural intentions towards public sector big open data. We outline the importance of our model for operations and supply chain managers, the limitations of the study, and future research directions.
The involvement of customers as data analysts enables firms to gain valuable insights and create value from big data. We provide a theoretical explanation, drawn from the resource‐based view, for the influence of the involvement of customers as data analysts and of the development of big data analytics (BDA) capabilities in business‐to‐business contexts as routes to manufacturing agility and performance. Our study empirically tested a framework in which organizational creativity and the involvement of customers as data analysts may differentially influence the relationship between BDA capabilities and manufacturing agility. We further tested whether the relative impact of manufacturing agility depends on organizational creativity and the involvement of customers as data analysts. To test our proposed framework, we took a partial least‐squares structural modelling approach using data collected through a survey involving 179 engineering manufacturers operating across different industrial sectors in Pakistan. We provide evidence for organizational creativity and customer involvement, presenting a promising opportunity for manufacturers to gain better insights from resources, and for the deployment of BDA capabilities leading to better manufacturing agility and performance.
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