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A comprehensive intervention test platform, Valla Coach, including quantitative and qualitative methods to measure and improve work flows on site and promote coaching and collective learning has been developed jointly by researchers and practitioner. The study aims to describe the methodological underpinning of the platform, and discusses the preliminary results and implications.

Expansive Learning Theory grounded in a cultural–historical perspective underpins the conceptual realisation of the test platform. The viability of the platform was tested in four contextually different construction sites (and contractors), combining established and new measurement tools, qualitative intervention approaches and coaching according to the production challenges at hand.

Valla Coach created a space on site where researchers-as-coaches and operatives converged to co-construct (new) knowledge and learn together. The knowledge that emerged from the interactions gained legitimacy through its situatedness and practical value for the operatives.

Valla Coach provides opportunities for researchers and practitioners to probe the taken-for-granted. Moreover, a variety of methods and tools are tested in different contexts. The interventions prompt questioning of assumptions and make contradictions visible. Valla Coach remains work-in-progress and needs further evaluation and validation.

We contribute insights from negotiating socio-technical complexities, evaluating digital measurement tools and technologies and experiences of operatives. Tensions at the interface between the organisation and project are rendered visible.

A bottom–up approach that is a combination of practice-based tools and methods and of theories of learning and sustainable and continuous improvements where the operators are the main actors that enable productive activity.

The present work assesses destination and service quality attributes, in terms of exploring the stronger and weaker points within these entities. In addition, it explores the relative effect of holistic experiences of destinations and the service-specific attributes on tourists’ overall satisfaction with destinations. Building on the perception, performance, and service quality literature a survey is carried out at 5 different tourist attractions among 701 tourists from over 15 countries worldwide visiting Northern Norway. The results divulge that many destination attributes are important; however, tourists find that the destination performs correspondingly with the perceived importance of destinations. The service quality attributes are also important, but reveal a perceptual gap between importance and performance. The study finds that Northern Norway as a tourist destination should concentrate on “uniqueness” and “novelty” to enhance tourist satisfaction. Service providers are advised to keep up the good work on “giving a good impression and a nice welcome” to enhance tourist satisfaction.

Cross-docking is a supply chain distribution and logistics strategy for which less-than-truckload shipments are consolidated into full-truckload shipments. Goods are stored up to a maximum of 24 hours in a cross-docking terminal. In this chapter, we build on the literature review by Ladier and Alpan (2016), who reviewed cross-docking research and conducted interviews with cross-docking managers to find research gaps and provide recommendations for future research. We conduct a systematic literature review, following the framework by Ladier and Alpan (2016), on cross-docking literature from 2015 up to 2020. We focus on papers that consider the intersection of research and industry, e.g., case studies or studies presenting real-world data. We investigate whether the research has changed according to the recommendations of Ladier and Alpan (2016). Additionally, we examine the adoption of Industry 4.0 practices in cross-docking research, e.g., related to features of the physical internet, the Internet of Things and cyber-physical systems in cross-docking methodologies or case studies. We conclude that only small adaptations have been done based on the recommendations of Ladier and Alpan (2016), but we see growing attention for Industry 4.0 concepts in cross-docking, especially for physical internet hubs.

Identifying the dimensionality of a construct and selecting appropriate items for measuring the dimensions are important elements of marketing scale development. Scales for measuring marketing constructs such as service quality, brand equity, and marketing orientation have typically been developed using the influential classical test theory paradigm (Churchill, 1979), or some variant thereof. Users of the paradigm typically assume, albeit implicitly, that items and respondents are the only sources of variance and respondents are the objects of measurement. Yet, marketers need scales for other important managerial purposes, such as benchmarking, tracking, and perceptual mapping, each of which requires a scaling of objects other than respondents such as products, brands, retail stores, websites, firms, advertisements, or social media content. Scales that are developed without such objects in mind might not perform as expected. Finn and Kayande (2005) proposed a multivariate multiple objective random effects methodology (referred to here as M-MORE) could be used to identify construct dimensionality and select appropriate items for multiple objects of measurement. This chapter applies M-MORE to multivariate generalizability theory data collected to assess online retailer websites in the early 2000s to identify the dimensionality of and to select appropriate items for scaling website quality. The results are compared with those produced by traditional methods.

The objective of the research, and paper, is to determine first whether or not the accounting abstraction appears to dominate the manager’s perceptions of the physical reality of the firm’s utilization of its physical assets, and second, whether changes in the accounting abstraction (e.g. the addition of Capacity cost management reports and measurements) lead to changes in how managers perceive, and use, their physical assets. Using a cognitive decision-making structure developed by Wagenaar et al. (1995), this study explores the interplay between the structure and nature of capacity reporting (the surface structure of the decision) and the subsequent analysis and choice of managers within the firm (the deep structure of the decision). A five-site field research methodology was used to gather data from companies across a multitude of industry contexts and situations. Results suggest that the nature of capacity measurement and reporting does shape manager’s perceptions of current and potential future performance (the cognitive surface structure), with major implications for the nature and type of decisions and trade-offs made (the deep structure). Specifically, managers appear to make decisions that are illogical when considered in light of the physical reality of their operations based on the representations of this reality (e.g. the capacity measures and reports). Analysis and interpretation of these results suggest that what accounting makes visible appears to drive decision-making and performance in organization.

Drawing on examples from the more developed realms of technology transfer and other “managerial professions” (Rhoades, 1998; Rhoades & Sporn, 2002) in the academy, this paper explores possible organizational sites for housing protocols for the measurement of the social value of individual innovations in higher education (that may enter the market or and augment or precede commercial valuation), and the possible implications of those different settings for the academy (particularly in terms of motivating more faculty to engage in more innovative and entrepreneurial activities). Organizational location matters. Organizational site is related to professional perspective and to the institutional outlook that attaches to various sorts of work in the academy. Five possible sites are explored, analyzing the dimensions of such locations from the experience of other “new” activities in universities. One type of site consists of an interstitial (Slaughter & Rhoades, 2004), nonacademic, support unit of managerial professionals (neither faculty nor senior level administrators), as in an Office of Technology Transfer or an Office of Institutional Research. A second type of site would be an academic unit in which measurement tasks could be performed by faculty members. A third type of site would be a hybrid model that combines elements of the first two models, as in the case of entrepreneurship units in many universities. A fourth possible type of site would be to situate such activity in an intermediating association (Slaughter & Rhoades, 2004) outside of the university, which mediates between public and private sectors, and that promotes various sorts of innovation and measurement as in the case of Educause and innovative information technologies. A fifth type of site would consist of establishing university extension units in the community, to provide services more directly to constituents, as traditionally was the model for agricultural extension in land grant universities. Each of the models has its owns benefits and challenges, its implications for what sorts of professionals would be doing the work and what they would see their principal function as being, and for the impact they would have on the academic workforce and the institution's direction.

Purpose – The accounting literature has demonstrated increased concern over issues of sustainability. One of the most critical issues that corporations face at the moment is climate change. This especially concerns companies that are substantial consumers of materials and energy. Corporations have increasingly acknowledged that to address this issue the existing ways of managing business must be changed.

This study examines the challenges posed by measurement of energy efficiency performance in an energy-intensive industry. It covers the challenges encountered with respect to the energy efficiency indicator and its use as a management tool.

Methodology – The case study method was used to conduct the research, which took place in a single firm in an energy-intensive process industry.

Findings – The results indicate that the current energy efficiency indicator, specific energy consumption (SEC), does not meet the criteria for good performance measurement. In particular, the controllability of energy efficiency seems problematic. Another major challenge is target setting. Measurable targets are needed to identify and prioritise areas where consumption and emission can be reduced.

Practical implications – The study provides practical knowledge on what is happening in organisations that pursue sustainable development and in particular, environmental efficiency.

Originality/value – Although the conceptual challenges in energy efficiency measurement are well known in the technical literature, discussions dealing with its management have been few in number. This study is a cross-disciplinary work and combines technical energy efficiency literature and management accounting research on performance management.