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The purpose of this paper is to investigate how a substantial organization gradually builds a management accounting system from scratch, changing its accounting routines by learning processes. The paper uses the experiential learning theory and the concept of learning style to investigate the learning process during management accounting change. The study aims to expand the domain of management accounting change theory to emphasize the learning-related aspects that can constitute it.

The paper provides an interpretation of management accounting change based on the model of problem management proposed by Kolb (1983) and the theory of experiential learning (Kolb, 1976, 1984). The study is based on a 14-year longitudinal case study (1994‐2007). The case examined can be considered a theory illustration case. Data were obtained from a broad variety of sources including interviews, document analysis and adopting an interventionist approach during the redesign of the costing system.

The paper contributes to two important aspects of management accounting change. First, it becomes apparent that the costing information change was not a discrete event but a process of experience and learning conducted through several iterations of trial-and-error loops that extended over the years. Second, the findings reveal that the learning process can alter management accounting system design in a radical or incremental way according to the learning style of the people involved in the process of change.

Because of the adopted research approach, results could be extended only to other organizations presenting similar characteristics. Several further areas of research are suggested by the findings of this paper. In particular, it would be of interest to investigate the links between learning styles and communication and its effect on management accounting change.

The paper includes implications for the management of learning during management accounting change, to improve the efficiency and effectiveness of this process.

This paper is one response to the call for an interdisciplinary research approach to the management accounting change phenomena using a “method theory” taken from the discipline of management to provide an explanation of the change in management accounting. In respect of the previous literature, it provides two main contributions, namely, the proposal of a model useful both to interpret and manage learning processes; the effect of learning style on management accounting routines change.

The purpose of this study is to identify how the responsibilities and costs of planning, controlling and executing the material, resource and waste flows are shifted between actors when introducing a construction logistics setup (CLS) as a product innovation in a construction project, compared to the traditional way of organizing these activities.

This study is an analytical conceptual research study which aims to bring new insights into a problem through logical relationship building. Empirical data are gathered in two cases where CLSs are used, through observations and interviews regarding how the activities within the order-to-delivery process are performed. The results have been discussed at workshops with suppliers, installation companies, contractor firms and trade unions.

The outcome of this study is a model for illustrating how costs and responsibilities are shifted in the construction project and supply chain when a CLS is introduced. The cost shift is dependent on the activity shift that accompanies the services included in the setup.

The practical contribution of this work is twofold. First, this study provides a methodology of how to evaluate the impact of logistics services on the actors in the construction project. Second, this study shows shifts in costs and responsibilities in logistics activities with the introduction of construction logistics services.

The theoretical contributions of the model and this study lie in the inclusion of a multi-actor perspective in total cost modelling in supply chains.

This paper aims to report on a survey of medium and large Irish firms to ascertain reasons for not changing to more advanced costing techniques, namely, activity-based costing (ABC). Developments in technology and recent poor economic conditions would suggest that the technique could be adopted more by firms, as they make increased efforts to keep costs under control.

A survey instrument was used to gather data drawing from the top 1,000 Irish firms. From a useable population of 821 organisations, a response rate of 20.75 per cent was achieved.

Findings show a rate of adoption of ABC of 18.7 per cent, which is lower than previous studies in an Irish context. The level of information technology in firms is not a key factor for non-adoption. Instead, the main reasoning for non-adoption revolve around stable existing costing methods, which firms expressed satisfaction with.

This research suggests the adoption of ABC is not necessarily driven by external factors such as technology and economic shocks, at least in the context of Ireland. It also suggests that costing techniques may be deeply embedded within organisations and are less likely to be subject to change.

This paper aims to critically examine the accounting and information systems literature to understand the changes that are occurring in the management accounting profession. The changes the authors are interested in are linked to technology-driven innovations in managerial decision-making and in organizational structures. In addition, the paper highlights research gaps and opportunities for future research.

The authors adopted a grounded theory literature review method (Wolfswinkel et al., 2013) to achieve the study’s aims.

The authors identified four research themes that describe the changes in the management accounting profession due to technology-driven innovations: structured vs unstructured data, human vs algorithm-driven decision-making, delineated vs blurred functional boundaries and hierarchical vs platform-based organizations. The authors also identified tensions mentioned in the literature for each research theme.

Previous studies display a rather narrow focus on the role of digital technologies in accounting work and new competences that management accountants require in the digital era. By contrast, the authors focus on the broader technology-driven shifts in organizational processes and structures, which vastly change how accounting information is collected, processed and analyzed internally to support managerial decision-making. Hence, the paper focuses on how management accountants can adapt and evolve as their organizations transition toward a digital environment.

The feasibility and desirability of reverse logistics in market-motivated contexts are examined in China. Interactions between the major barriers, that hinder or prevent the application of reverse logistics in China are analyzed. Management’s key task is to diagnose barriers to the application of reverse logistics that could be crucial to the organization’s future survival. Simultaneity, a value delivery system exists to create value for customers and environments by supplying needed products and services. Value delivery systems are at the heart of every firm and, more than anything else, determine that, whether the firm survives in the marketplace or disappears into bankruptcy or takeover. The processes and model of market-motivated reverse logistics value delivery system are discussed, and the processes content and model are presented. Simultaneity, based on the advantage of the Third Party Reverse Logistics Providers (3PRLs) and Outsourced Service Providers, an integrated evaluation model is built to select 3PRLs by using the integrated decision-making methods. Reflecting the comprehensive information requirement, the Analytic Hierarchy Process and entropy approaches are applied to calculate the objective weights. A new kind of relative similarity degree is established by combining the Euclidean distance with the grey correlation degree. An example demonstrates the model’s efficiency.

This paper investigates the suitability of fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

Two fuzzy-logic-based support tools are developed together with experts from a Swedish manufacturing firm. The first uses a complete rule base and the second a reduced rule base. Sixteen inference settings are used in both of the support tools.

The findings show that fuzzy-logic-based support tools are suitable for initial screening of manufacturing reshoring decisions. The developed support tools are capable of suggesting whether a reshoring decision should be further evaluated or not, based on six primary competitiveness criteria. In contrast to existing literature this research shows that it does not matter whether a complete or reduced rule base is used when it comes to accuracy. The developed support tools perform similarly with no statistically significant differences. However, since the interpretability is much higher when a reduced rule base is used and it require fewer resources to develop, the second tool is more preferable for initial screening purposes.

The developed support tools are implemented at a primary-criteria level and to make them more applicable, they should also include the sub-criteria level. The support tools should also be expanded to not only consider competitiveness criteria, but also other criteria related to availability of resources and strategic orientation of the firm. This requires further research with regard to multi-stage architecture and automatic generation of fuzzy rules in the manufacturing reshoring domain.

The support tools help managers to invest their scarce time on the most promising reshoring projects and to make timely and resilient decisions by taking a holistic perspective on competitiveness. Practitioners are advised to choose the type of support tool based on the available data.

There is a general lack of decision support tools in the manufacturing reshoring domain. This paper addresses the gap by developing fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.

This study aims to explore the calculations and valuations that unfold in everyday practices within social care settings. Specifically, the paper concerns the role of accounting in dealing with multiple calculable and non-calculable spaces within the case management process. The study sheds light on the multiplicity produced in constructing the client as an object through the calculations and valuations embedded in the costing and caring practices in social work.

This is a qualitative case study in a Swedish social care organisation, with a specific focus on the calculations and valuations within the case management process. The data have been gathered from 20 interviews with social workers, team leaders, managers and a management accountant, along with more than 36 h of on-site observations and internal organisational documents, including policy documents, guidelines and procedural lists.

The case management process involves interconnected practices in constructing the client as an object. While monetary calculations and those associated with worth are embedded in costing and caring practices, they interact and proliferate in various ways. Three elements are found: transforming service units into centres of calculation, constructing the accounts of calculation and establishing the cost-value calculations. Calculations and valuations are actuated in these elements in describing the need, matching the case with the unit and caseworker and deciding on the measure. The objectification of the client entails the construction of accounts, for example, ongoing qualifications, categorisations and groupings of units, juridical frameworks, case types, needs and measures. As an object multiple, the client becomes different objects at different stages, challenging the establishment accounts, and thus producing a range of calculations and valuations. Such diversity in calculations concomitantly produces more calculations to represent the present and absent multiple facets of the client, resulting in a multiplicity of costing and caring.

The study might flag up for practitioners the possible risks and unintended consequences of depending too much on fixed guidelines and (performance) indicators since social work involves object multiples, which are always in diversity and changeable in situ. Considering the multiple dimensions within the specific contexts could thus be helpful to mitigate such risks in the evaluation of social care processes and the design of (performance) metrics.

This study contributes to the literature on accountingisation by extending the concept as a part of ongoing organisational practices, materialised within the calculations of money and worth in everyday social care. Besides demonstrating their reconsolidation, this study shows a multiplicity of costing and caring practices depending on the way the client is constructed, resulting in the proliferation of accounting(s) and ultimately accountingisation of social work.

Digitalization accelerates the need of tourism and hospitality ecosystems to reframe business models in line with a data-driven orientation that can foster value creation and innovation. Since the question of data-driven business models (DDBMs) in hospitality remains underexplored, this paper aims at (1) revealing the key dimensions of the data-driven redefinition of business models in smart hospitality ecosystems and (2) conceptualizing the key drivers underlying the emergence of innovation in these ecosystems.

The empirical research is based on semi-structured interviews collected from a sample of hospitality managers, employed in three different accommodation services, i.e. hotels, bed and breakfast (B&Bs) and guesthouses, to explore data-driven strategies and practices employed on site.

The findings allow to devise a conceptual framework that classifies the enabling dimensions of DDBMs in smart hospitality ecosystems. Here, the centrality of strategy conducive to the development of data-driven innovation is stressed.

The study thus developed a conceptual framework that will serve as a tool to examine the impact of digitalization in other service industries. This study will also be useful for small and medium-sized enterprises (SMEs) managers, who seek to understand the possibilities data-driven management strategies offer in view of stimulating innovation in the managers' companies.

The paper reinterprets value creation practices in business models through the lens of data-driven approaches. In this way, this paper offers a new (conceptual and empirical) perspective to investigate how the hospitality sector at large can use the massive amounts of data available to foster innovation in the sector.

The purpose of this paper is to contribute to a better understanding of the financial decision-making process of farmers and to highlight the potential role that improved farm financial management (FFM) could play in developing sustainable farm enterprises.

This paper adopts a qualitative approach with 27 semi-structured interviews exploring farmers’ financial decision-making processes. Subsequently, the interview findings were presented to a focus group. Sensemaking theory is adopted as a theoretical lens to develop the empirical findings.

The evidence highlights that FFM has a dual role to play in farmer decision-making. Some FFM activities may act as a cue, which triggers a sensebreaking activity, causing the farmer to enter a process of sensemaking whilst some/other FFM activities are drawn upon to provide a sensegiving role in the sensemaking process. The role of FFM in farmer decision-making is strongly influenced by the decision type (strategic or operational) being undertaken and the farm type (dairy, tillage or beef) in operation.

The literature suggests that the majority of farmers spend little time on financial management. However, there are farmers who have quite a high level of engagement in FFM activities, when undertaking strategic farm expansion decisions. Those FFM activities help them to navigate through operational decision-making and to make sense of their strategic decision-making.

The purpose of the study is to describe the implications of strategic lead times (SLTs) for return on investment (ROI).

This study was part of an interactive research project and is based on the logic of theory application leading to theory building. It uses a multiple case study with five holistic single cases. Empirical data (ED) have mainly been collected from interviews and focus groups.

The length of and uncertainty in SLTs have implications for companies' financial performance. These implications vary in strength and can be either direct or indirect. These findings are incorporated into a framework on SLTs' implications for ROI.

The presented array of SLTs' implications for ROI could be further investigated, focussing on their strength. Additionally, it would be interesting to substantiate the findings in the context of environmental and social sustainability (i.e. the triple bottom line).

The findings offer practitioners a rich description and understanding of SLTs' actual implications for financial performance in terms of ROI. This knowledge can support practitioners in analysing supply chain designs based on financial performance.

Using a combination of a relative financial performance measure (ROI) and a set of SLTs (systems perspective), this study focuses on SLTs' actual implications for ROI. The findings provide evidence that different sections of a supply chain can have different implications for revenue, cost and investment (i.e. the three absolute measures related to ROI).