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Taking stock of research on the levers of control with meta-analytic methods: Stylized facts and boundary conditions

Accounting, Organizations and Society 2023 106, 101414 open access
In levers of control (LoC) research, empirical and conceptual ambiguities have hampered the establishment of a coherent body of knowledge. Mixed findings, variability in the approaches to account for the levers’ combined use, and variability in conceptual choices (e.g., the conceptualization of interactive and diagnostic control) have caused this unsatisfactory state. In response, we validate and extend theory on the LoC framework by meta-analytically synthesizing quantitative evidence from 58 independent samples and 10,374 observations. We develop two models of the combined use of the levers, which portray their simultaneous use and mutual relationships, and relate them to capabilities and performance. For theory validation, we uncover stylized facts that demonstrate that organizations use the four levers in combination, not in isolation. Moreover, following the logic of the resource-based view, the levers are related to performance via capabilities. These relationships are robust to moderating influences of the dimensions and conceptualization of interactive control and managers’ hierarchical level. For theory extension, we systematically uncover the need to complement the resource-based view with other theories and offer related suggestions. Our moderator analyses identify boundary conditions that limit the generalizability of the LoC framework. For example, surprisingly, the conceptualization of diagnostic control emerges as a boundary condition. On a general level, our findings might serve as an inspiration for better appreciating future survey-based knowledge creation in management control research and also provide researchers from other disciplines with a more comprehensive understanding of the enhancement of capabilities and performance.

Using Google searches of firm products to detect revenue management

Accounting, Organizations and Society 2023 109, 101457 open access
We introduce a novel Big Data analytics model to detect upward revenue misreporting. The model uses freely available Google searches of firm products to provide external entity business state (EBS) evidence. The veracity of the reported numbers is enhanced when auditors can obtain external EBS evidence congruent with the reported numbers. The Google search volume index (SVI) of firm products is a good candidate for such EBS evidence because it nowcasts (i.e. predicts present) firm sales and is independent of management control. A large discrepancy such as a high sales growth together with a large decline in the SVI suggests possible manipulation upwards of revenues. We find that an indicator variable, MUP, of a firm in the top sales growth quartile and bottom ΔSVI quartile in each industry-quarter predicts revenue misstatements incrementally to the F_Score, Discretionary-Revenues model, two alternative upward revenue manipulation identifiers, and analyst and media coverages. MUP predictability is stronger in end-user industries and in interim quarters relative to the fourth quarter. We also find corroborating evidence that MUP firms have lower sales growth persistence, larger increases in accounts receivables, and lower allowances for bad debts, consistent with their lower revenue quality.

Calorie accounting: The introduction of mandatory calorie labelling on menus in the UK food sector

Accounting, Organizations and Society 2023 110, 101468 open access
Obesity has become a topic of public discourse in Britain with claims that it is now one of the major causes of ill health and premature death. In an effort to tackle this obesity ‘crisis’, the UK government has introduced mandatory calorie labelling on menus. This legislation requires that the number of calories associated with a meal option, together with the recommended calorie consumption per day, be displayed on menus. Such ‘calorie accounting’ seeks to prompt the consumer to make menu choices consistent with public health ambitions and to encourage food establishments to reformulate lower calorie menu offerings. Drawing on the concepts of technologies of government (Miller & Rose, 1990; Rose & Miller, 1992) and biopedagogy (Harewood, 2009; Wright, 2009), this paper suggests that calorie accounting operates as a technology of biopedagogy which seeks to discipline and govern the body in contemporary neoliberal society. The paper also contributes to recent accounting scholarship on counter-conduct (Foucault, 2007) by highlighting how calorie accounting produces a form of counter-conduct that coexists with conformity to governmental goals. The paper draws upon three primary data sources: a documentary analysis of 44 policy documents on obesity and calorie reduction, an analysis of 112 responses to a public consultation exercise on calorie labelling, and 20 interviews with relevant actors.

Algorithmic management and the politics of demand: Control and resistance at Uber

Accounting, Organizations and Society 2023 109, 101465 open access
Arguably the world's most iconic platform organization, Uber relies on a disaggregated labour force and a technology application accessible to users on mobile devices. The company contracts with over three million drivers worldwide and has curated an infrastructure of platform-based control characterized by algorithmic processes. The effects of this new wave of control on the driver-led workforce are unclear. Drawing on interviews with 36 Uber drivers, mainly from Australia and France, this research investigates how the ‘gig economy’ workforce engages with platform-based control. We find that the platform organization's control algorithms operate with strong disciplinary effects. Drawing on Foucault's concept of self-formation, we examine worker responses to the new order of work. We highlight the way workers engage in practices to ‘take care of oneself’, by enduring, subverting or exiting the conditions of algorithmic management. We find that these practices are related to the distance embedded in the field between management and the workforce. In this way, we argue that the gig economy operates differently upon the ‘governable self’ and urge caution in relation to the use of algorithms to control at a distance.