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In academics and industry, significant efforts have been made to lead planners and control teams in evaluating project performance and control. In this context, numerous control metrics have been devised and put into practice, often with little emphasis on analyzing their underlying concepts. To cover this gap, this research aims to identify and analyze a holistic list of control metrics and their functionalities in the construction industry.

A multi-step analytical approach was conducted to achieve the study’s objectives. First, a holistic list of control metrics and their functionalities in the construction industry was identified. Second, a quantitative analysis based on social network analysis (SNA) was implemented to discover the most important functionalities.

The results revealed that the most important control metrics' functionalities (CMF) could differ depending on the type of metrics (lagging and leading) and levels of control. However, in general, the most significant functionalities include managing project progress and performance, evaluating the look-ahead level’s performance, measuring the reliability and stability of workflow, measuring the make-ready process, constraint management and measuring the quality of construction flow.

This research will assist the project team in getting a comprehensive sensemaking of planning and control systems and their functionalities to plan and control different dynamic aspects of the project.

For the design of this case study, the authors used primary sources of information from the shops visited by them in preparation of the case and website of Fred Perry and secondary sources of information from both academic and journalistic publications.

Fred Perry is a premium clothing brand, well-known for its polo shirts. It was created by Mr Fred Perry, a British tennis player. The brand’s stated values are integrity, personality and individuality. Throughout its history, the brand has been adopted by different British subcultures but recently it has faced a challenge because of the brand appropriation by the Proud Boys, a US far-right white supremacy group and other extremist groups as Antifa and hooligans. The nature and actions of the group mean that Fred Perry runs the risk of losing control over its brand equity. This brand hijack means that Fred Perry risks alienating some of its customers by openly opposing the group but also by embracing this subculture’s appropriation. Practically, the brand opposed the appropriation in a press release and by putting an end to the sale of the black and yellow polo shirts in the USA and Canada. Fred Perry has also made a lot of efforts to reposition the brand away from extremist groups while maintaining its strong historical and cultural roots. Through this case study, students will have the opportunity to discuss this topic and explore solutions for brands that face this type of dilemma.

This case is designed to be used in a marketing management, brand strategy or consumer behavior/culture course, especially in the subfield of market segmentation in the telecommunications sector. Specifically, this case is designed for college seniors or master students with basic strategic marketing training. This case will help students understand the difference between the brand identity that the brand owners intend and the brand image that consumers actually perceive. It provides the basis of discussions on the topics of brand management, consumer culture, consumers-brands relationships, brand architecture, brand equity, brand appropriation and repositioning strategy.

In June 23, 2016, voters in the United Kingdom have just approved a referendum calling for leaving the European Union. The case describes the motives for European integration, the rise of separatist movements in the United Kingdom and elsewhere, and the referendum process itself.

The purpose of this case is to provide a contemporary counterpoint to a discussion of the economic and political motivations for the American Civil War. Dominant themes highlighted here are economic nationalism, political nationalism, cultural centrism and ethnocentrism, and populism.

This paper aims to discuss the place-making processes of street art within the context of Toronto, Canada, and potential for street art as alternative tourism to contribute to new urban tourism and encourage urban regeneration in the city.

The study applies reflexive thematic analysis to analyse secondary data sources such as reports, maps, videos, websites, news articles and official documents alongside photographic documentation and field research.

Street art in Toronto has been found to coincide closely with processes of creative place-making. While there is some indication that municipal street art organizations and destination marketing organizations are aware of the possibilities for street art to contribute to tourism in the city, it remains an untapped resource for new urban tourism. As a component of creative place-making, it has great potential as a form of alternative tourism to regenerate a still struggling tourism economy.

This paper explores the nascent research area and practical application of street art as an alternative form of urban tourism in Toronto, Canada. It also fills a gap by connecting the concept of creative place-making with street art, urban regeneration and tourism specifically; a focus that needs wider attention.

This study aims to explore how network visualization provides opportunities for learners to explore data literacy concepts using locally and personally relevant data.

The researchers designed six locally relevant network visualization activities to support students’ data reasoning practices toward understanding aggregate patterns in data. Cultural historical activity theory (Engeström, 1999) guides the analysis to identify how network visualization activities mediate students’ emerging understanding of aggregate data sets.

Pre/posttest findings indicate that this implementation positively impacted students’ understanding of network visualization concepts, as they were able to identify and interpret key relationships from novel networks. Interaction analysis (Jordan and Henderson, 1995) of video data revealed nuances of how activities mediated students’ improved ability to interpret network data. Some challenges noted in other studies, such as students’ tendency to focus on familiar concepts, are also noted as teachers supported conversations to help students move beyond them.

To the best of the authors’ knowledge, this is the first study the authors are aware of that supported elementary students in exploring data literacy through network visualization. The authors discuss how network visualizations and locally/personally meaningful data provide opportunities for learning data literacy concepts across the curriculum.

This paper aims to design a hybrid model of knowledge-based performance management system (KBPMS) for facilitating Lean Six-Sigma (L6s) application to increase contractor productivity without compromising human safety in Indonesian upstream oil field operations that manage ageing and life extension (ALE) facilities.

The research design applies a pragmatic paradigm by employing action research strategy with qualitative-quantitative methodology involving 385 of 1,533 workers. The KBPMS-L6s conceptual framework is developed and enriched with the Analytical Hierarchy Process (AHP) to prioritize fit-for-purpose Key Performance Indicators. The application of L6s with Human Performance Modes analysis is used to provide a statistical baseline approach for pre-assessment of the contractor’s organizational capabilities. A comprehensive literature review is given for the main pillars of the contextual framework.

The KBPMS-L6s concept has given an improved hierarchy for strategic and operational levels to achieve a performance benchmark to manage ALE facilities in Indonesian upstream oil field operations. To increase quality management practices in managing ALE facilities, the L6s application requires an assessment of the organizational capability of contractors and an analysis of Human Performance Modes (HPM) to identify levels of construction workers’ productivity based on human competency and safety awareness that have never been done in this field.

The action research will only focus on the contractors’ productivity and safety performances that are managed by infrastructure maintenance programs for managing integrity of ALE facilities in Indonesian upstream of oil field operations. Future research could go toward validating this approach in other sectors.

This paper discusses the implications of developing the hybrid KBPMS- L6s enriched with AHP methodology and the application of HPM analysis to achieve a 14% reduction in inefficient working time, a 28% reduction in supervision costs, a 15% reduction in schedule completion delays, and a 78% reduction in safety incident rates of Total Recordable Incident Rate (TRIR), Days Away Restricted or Job Transfer (DART) and Motor Vehicle Crash (MVC), as evidence of achieving fit-for-purpose KPIs with safer, better, faster, and at lower costs.

This paper does not discuss social implications

This paper successfully demonstrates a novel use of Knowledge-Based system with the integration AHP and HPM analysis to develop a hybrid KBPMS-L6s concept that successfully increases contractor productivity without compromising human safety performance while implementing ALE facility infrastructure maintenance program in upstream oil field operations.

Prior literature has long argued that knowledge networks contain great opportunities for innovation, and researchers can identify these opportunities using the properties of knowledge networks (PKNs). However, previous studies have examined only the relationship between structural PKNs (s-PKNs) and innovation, ignoring the effect of qualitative PKNs (q-PKNs), which refer to the quality of the relationship between two elements. This study aims to further investigate the effects of q-PKNs on innovation.

Using a panel data set of 2,255 patents from the Chinese wind energy industry, the authors construct knowledge networks to identify more PKNs and examine these hypotheses.

The results show that q-PKNs significantly influence recombinant innovation (RI), reflecting the importance of q-PKNs analysed in this study. Moreover, the results suggest that the combinational potential of an element with others may be huge at different levels of q-PKNs.

This study advances the understanding of PKNs and RI by exploring how q-PKNs impact RI. At different levels of PKNs, the potential of the elements to combine with others and form innovation are different. Researchers can more accurately identify the opportunities for RI using two kinds of PKNs. The findings also provide important implications on how government should provide support for R&D firms.