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As the construction industry strives for closer integration of the participants, more responsibility for the management of the detailed design process is being directed to main contractors and combined with their existing duties of managing the construction and pre‐construction processes. Crucially, this necessitates successful management of the interface between these processes, and this paper seeks to investigate a conceptual view of that interface to provide a foundation for improving understanding of it.

Recent and current literature is examined, and various theoretical backgrounds for the design and the construction processes are reviewed. The consequences for the understanding of the interface are discussed. The significance of conceptual frameworks is also reviewed.

A significant difference is identified in the published work between the theoretical understandings of the construction and design processes. From this a conceptual framework for the interface between these processes is developed.

The difference identified may have significant implications for further research, and for the development of management techniques applicable to the interface. Furthermore, the lack of access to specialist knowledge at the optimum time during the design process is identified as having a potentially significant impact on that process.

These findings could provide an understanding and basis for further research into the interface between the processes, and for the development of an enhanced model that would facilitate improved management of the interface and the optimisation of the process of the selection, appointment and input of specialist subcontractors.

The dramatic ageing of societies will not be addressed successfully by generalised policies for all older people, but by concerted action to tackle major inequalities in income, health and well‐being and social inclusion. Such approaches must form part of a life course strategy which deals with disadvantages owing to gender, ethnicity and socio‐economic origins and uses mid‐life and retirement as windows of opportunity. Paradoxically, the current economic difficulties cause the right conditions for a new drive to reduce unequal ageing. A concordat is needed across state, business, voluntary sector and media if it is to be a realistic possibility.

WHAT is this thing called… accountability?

The case is written based on publicly available data from primary sources such as the company’s annual reports, company website and the company’s presentations, as well as from secondary sources comprising newspaper articles, research papers, research magazines, magazine articles, industry reports, research reports, etc. as indicated in the references. The company’s financials and peer data are sourced from the Thomson Reuters Eikon database.

The case examines the financial position of Macy’s, Inc., America’s largest and one of the oldest premier departmental stores, with a consolidated annual turnover of US$18,097m in the fiscal year 2020/2021 (FY, 2021). Over the previous few years, the company had been struggling with decreasing market share and profitability mainly due to increasing competition from online retailers and deep discounters, which was affecting the company’s share price. With the appointment of a new chief executive officer (CEO) in fiscal year (FY) 2017, Macy’s, Inc. undertook several changes to revive its financial health and improve its market share. However, it still registered heavy losses of US$3,944m in the FY 2020/2021, the company’s first time in the past decade. With many retailers filing for bankruptcy, was there more that Macy’s could do to improve the company’s position and regain lost investor confidence? Will its entry into emerging markets play a crucial role in its turnaround?

The case can be used in undergraduate and postgraduate courses such as accounting for managers, financial statement analysis, management accounting, introduction to accounting and advanced financial statement analysis. The case can also be effectively used to understand the primary fundamental analysis of the company that involves understanding the company’s positioning and strengths, weaknesses, opportunities and threats analysis. The case would also help business management and entrepreneurship students to get a preliminary idea about the change management process. Finally, the case can be used to familiarize students with using Microsoft Excel to build financial analysis worksheets.

Teaching notes are available for educators only.

Manufacturers of smartphone devices are increasingly utilising a diverse range of sensors. This innovation has enabled developers to accurately determine a user’s current context. One area that has been significantly enhanced by the increased use of context in mobile applications is tourism. Traditionally, tour guide applications rely heavily on location and essentially ignore other types of context. This has led to problems of inappropriate suggestions and tourists experiencing information overload. These problems can be mitigated if appropriate personalisation and content filtering is performed. This research proposes an intelligent context-aware recommender system that aims to minimise the highlighted problems.

Intelligent reasoning was performed to determine the weight or importance of different types of environmental and temporal context. Environmental context such as the weather outside can have an impact on the suitability of tourist attractions. Temporal context can be the time of day or season; this is particularly important in tourism as it is largely a seasonal activity. Social context such as social media can potentially provide an indication of the “mood” of an attraction. These types of contexts are combined with location data and the context of the user to provide a more effective recommendation to tourists. The evaluation of the system is a user study that utilised both qualitative and quantitative methods, involving 40 participants of differing gender, age group, number of children and marital status.

This study revealed that the participants selected the context-based recommendation at a significantly higher level than either location-based recommendation or random recommendation. It was clear from analysing the questionnaire results that location is not the only influencing factor when deciding on a tourist attraction to visit.

To effectively determine the success of the recommender system, various combinations of contextual conditions were simulated. Simulating contexts provided the ability to randomly assign different contextual conditions to ensure an effective recommendation under all circumstances. This is not a reflection of the “real world”, because in a “real world” field study the majority of the contextual conditions will be similar. For example, if a tourist visited numerous attractions in one day, then it is likely that the weather conditions would be the same for the majority of the day, especially in the summer season.

Utilising this type of recommender system would allow the tourists to “go their own way” rather than following a prescribed route. By using this system, tourists can co-create their own experience using both social media and mobile technology. This increases the need to retain user preferences and have it available for multiple destinations. The application will be able to learn further through multiple trips, and as a result, the personalisation aspect will be incrementally refined over time. This extensible aspect is increasingly important as personalisation is gradually more effective as more data is collated.

This paper contributes to the body of knowledge that currently exists regarding the study of utilising contextual conditions in mobile recommender systems. The novelty of the system proposed by this research is the combination of various types of temporal, environmental and personal context data to inform a recommendation in an extensible tourism application. Also, performing sentiment analysis on social media data has not previously been integrated into a tourist recommender system. The evaluation concludes that this research provides clear evidence for the benefits of combining social media data with environmental and temporal context to provide an effective recommendation.

This chapter uses an application to explore the utility of Bayesian quantile regression (BQR) methods in producing density nowcasts. Our quantile regression modeling strategy is designed to reflect important nowcasting features, namely the use of mixed-frequency data, the ragged-edge, and large numbers of indicators (big data). An unrestricted mixed data sampling strategy within a BQR is used to accommodate a large mixed-frequency data set when nowcasting; the authors consider various shrinkage priors to avoid parameter proliferation. In an application to euro area GDP growth, using over 100 mixed-frequency indicators, the authors find that the quantile regression approach produces accurate density nowcasts including over recessionary periods when global-local shrinkage priors are used.

The nature of the relationship between job characteristics, personality, and job satisfaction was investigated. A longstanding debate exists between psychologists that believe structural characteristics of the job are the primary determinants of job satisfaction (Kulik, Oldham, & Hackman, 1987; O'Reilly & Roberts, 1975) and those that believe personal attributes of the worker are most important (Hackman & Lawler, 1971; Pervin, 1968). Information was collected from 163 participants on the Job Characteristics Inventory, the Myers‐Briggs Type Indicator (Form G), and the satisfaction scale of the Job Diagnostic Survey. Hierarchical regression analyses demonstrated that job characteristics successfully predicted job satisfaction (average Ra2 =.30). A series of hierarchical regressions indicated that personality had neither a direct effect on satisfaction nor a moderating effect on the job characteristics‐job satisfaction relation. These results indicate that, at least as measured by the MBTI, the characteristics of the individual may be of little importance during job redesign.

Strategic management research has shown growing interest in understanding the dynamic resource reconfiguration processes through which firms grow, evolve, and sustain profitability. The goal of our study is to understand how dynamic resource reconfigurations enable firms to pursue growth opportunities. We use the methods of inductive theory building from case studies to elaborate current theoretical understanding about how firms draw on both internal and external resources in the pursuit of growth. We examine the patterns of resource reconfigurations through which Yahoo and Google powered their early growth strategies in their first 10 years of existence. We analyze a total of 192 new product launches in 43 markets by the two firms to capture how they reconfigured resources dynamically. Our analysis reveals that both firms developed highly dynamic strategies exhibiting both surprising similarities and differences. These similarities and differences provided the basis for our theoretical insights about the development of what we term “dynamic resource platforms,” comprising of (a) dynamic resource shifts; (b) targeted resource orchestration; and (c) complementary processes balancing dynamism and capability development. These ideas contribute novel theoretical insights to current strategic management research on dynamic capabilities and on resource reconfiguration and redeployment.