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This paper aims to identify the impact that commute patterns pose on construction labour productivity (CLP). There is limited research focussed on the impact of workforce transportation on productivity, even fewer in a construction environment. In particular, this study seeks to fill a gap in the understanding of how commute patterns may influence CLP.

Key factors reported affecting CLP were identified through a comprehensive literature review. Data were collected from 27 interviews and observational evidence at construction sites on Auckland Central Business District (CBD).

Shortage of skills, communication among workers, shirking behaviour, absenteeism and tardiness were perceived as the most critical labour productivity factors that are influenced by commute patterns. It is considered that stressful commutes may lead to shirking behaviours (absenteeism and calling sick). Meanwhile, ridesharing may encourage communication among workers.

The study was carried out in a central business district, focussing on a geographic area with its particular characteristics. The results, thus, may not be generalised in general urban settings.

The research outcomes can be used as guidelines for companies considering travel plans for their employees, to minimise the negative impact commuting can have on workers, especially in industries with low productivity.

This study aims to identify the pandemic’s impact on house rents by applying a rental gradient analysis to compare the pre-and post-COVID-19 periods in Auckland. The micro-level household census data from the Integrated Data Infrastructure of Statistics New Zealand is also applied to scrutinise this WFH trend as a robustness check.

Since the outbreak of COVID-19, work-from-home (WFH) and e-commerce have become much more common in many cities. Many news reports have contended that households are leaving city centres and moving into bigger and better houses in the suburbs or rural areas. This emerging trend has been redefining the traditional theory of residential location choices. Proximity to central business district (CBD) is no longer the most critical consideration in choosing one’s residence. WFH and e-commerce flatten the traditional bid rent curve from the city centre.

The authors examined micro-level housing rental listings in 242 suburbs of the Auckland Region from January 2013 to December 2021 (108 months) and found that the hedonic price gradient models suggest that there has been a trend of rental gradient flattening and that its extent was almost doubled in 2021. Rents are also found to be increasing more in lower-density suburbs.

The results imply that the pandemic has accelerated the trend of WFH and e-commerce. The authors further discuss whether the trend will be a transient phenomenon or a long-term shift.

Suppose an organisation is concerned about productivity and performance issues due to a companywide ability to WFH. In that case, some standard key performance indicators for management and employees could be implemented. Forward-thinking cities need to focus on attracting skilful workers by making WFH a possible solution, not by insisting on the primacy of antiquated nine-to-five office cultures.

WFH has traditionally encountered resistance, but more and more companies are adopting WFH policies in this post-COVID era. The early rental gradient and the micro-level household data analysis all confirm that the WFH trend is emerging and will likely be a long-term shift. Instead of resisting the change, organisations should improve their remote work policies and capabilities for this WFH trend.

So far, empirical studies of post-COVID urban restructuring have been limited. This study aims to empirically test such an urban metamorphosis by identifying the spatial and temporal impacts of COVID on house rental gradients in the Auckland Region, New Zealand. The authors apply rental gradient analysis to test this urban restructuring hypothesis because the method considers the spatial-temporal differences, i.e. a difference-in-differences between pre-and post-pandemic period against the distance measured from the city centre. The method can control for the spatial difference and the endogeneity involved.

The key learning objectives are mentioned as follows:▪ analyse the attractiveness of the bike rental market using Michael Porter’s five forces model;▪ apply the TWOS framework to analyse the strengths and weaknesses of Tazzo;▪ evaluate various competitive strategies of Tazzo; and▪ identify the unique value proposition for such a service in an emerging market such as India.

Tazzo was an Indian technology bike rental start-up based in Hyderabad. It was a pioneer in providing on-demand bike rental services. Tazzo was founded in 2016 by Priyam Saraswat and Shivangi Srivastava, both from IIT Guwahati, Priyank Suthar from IIT Roorkee and Vikrant Gosain from IMT Hyderabad. Within two years since its inception, Tazzo had scaled up from 5 bikes to a fleet size of 600 bikes with more than 1,000 daily rides. They were making around 24,000 rides monthly with an average ticket size of INR 250. The revenues crossed INR 10 crores with more than 20,000 active users. In 2016, the market was nascent and the concept was new. There was huge demand for such an on-demand bike rental services for self-commute in the metros. However, increasing awareness of a huge untapped market in the bike rental market had led to entry of a flurry of competitors. Notable among them were Vogo, Bounce and ONN Bikes. Facing such intense competition Priyam, co-founder and CEO of Tazzo, had the challenge to be able to sustain his company’s early momentum. How would he be able to retain Tazzo’s market leadership position? Would it be possible for Tazzo to keep up the pace of growth amid increased competition? Would the company be able to ward off the challenges from its competitors? Priyam was facing all these challenging questions and had to quickly address them to continue to lead in this competitive race.

This case can be used in Marketing Management course’s “Competition Analysis” module for both MBA and executive-level programs dealing with marketing. This case study helps students in dealing with issues pertaining to a given market sector where a firm is operating, the strategies that could be used by the competitors and application of competitive strategies which the firm can apply.

Teaching notes are available for educators only.

CSS 8: Marketing.

The learning outcome of this case study is to help students identify issues of the electric two-wheeler industry in India, revisiting conventional business models and transitioning toward sustainable business models. Eventually, this case study will enhance students’ analytical, qualitative analysis, multidisciplinary approach and strategic decision-making skills.

This case study can be used to discuss Michael Porter’s five forces model, TOWS matrix and Michael Porter’s generic strategies for competitive advantage.

Bounce was established in 2014 by Vivekananda Halkere, Anil G. and Varun Agni. The startup was an on-demand service provider of scooters. It also claimed to be the world’s fastest-growing scooter rental startup. As of March 2020, Bounce operated in 12 Indian cities, namely, Bengaluru, Jaipur, Hassan, Kolar, Mysore, Bhuj, Udaipur, Belgavi, Hyderabad, Ahmadabad, Hampi and Delhi. Bounce’s revenue grew to INR 1,000m in the fiscal year (FY) 2020 compared to INR 160m in FY 2019. Halkere was happy and proud of what his friends and he had achieved in the past two years. However, he was concerned about competition. What plan of action was needed to help thwart competition. What would be the best strategy to achieve growth and monetize operations? and How would Bounce address these major challenges to capture market share?

This case study can be taught in advanced undergraduate, MBA or executive-level programs dealing with strategic management. This case study helps students in dealing with issues pertaining to a given market sector where a firm is operating and the strategies to thwart competition.

Teaching notes are available for educators only.

CSS11: Strategy.

Given migrant workers’ critical role in the Chinese economy, the increasing number of migrant workers who leave their organizations and return to their hometown has caused severe socioeconomic issues in China. The purpose of this paper is to contribute to migrant worker literature by revealing the micro-mechanism underlying migrant workers’ return-to-hometown intention and turnover.

Data were collected from a convenience sample from seven Chinese companies that employed migrant workers (n=147). The authors used path analysis to test the hypotheses.

Migrant workers’ family encouragement of returning to hometown was positively related to their return-to-hometown intention, which subsequently predicted their turnover decision in six months. Further, migrant workers’ perceived career sacrifice associated with returning to hometown weakened the effect of family encouragement to return.

For organizations that need to retain migrant workers, the findings indicate that it is particularly important to take migrant workers’ family needs and their career-related concerns into account. For migrant workers, the study highlights the importance of assessing gains and losses in the process of making turnover-related decisions.

This study contributes to migrant worker literature by investigating psychological processes underlying migrant workers return-to-hometown intention and the subsequent turnover from a micro perspective.

The purpose of this paper is to provide an exploratory examination of urban retail marketing and management strategies employed in six US cities with reputations for having central business districts (CBD) that are either flourishing or developing. It also investigates the roles played by urban retailers in working with CBD revitalization efforts.

Depth interviews were conducted with economic development managers and urban retailer owners/managers from each CBD. Content analysis, preceded by a comprehensive review of academic and trade literature, was used to identify key concepts. An iterative coding process resulted in identifying broad strategic themes and related strategies.

Strategies were classified into three urban retailing and five economic revitalization themes. These strategies varied depending on whether cities had flourishing or developing CBDs.

The study provided a systematic and comprehensive examination of strategies that may guide theory development and provide practical information on CBD redevelopment. Potential bias in results should be considered when evaluating results due to the use of qualitative methods and convenience sampling.

Information concerning similarities in the redevelopment efforts of six comparable US cities is provided.

Purpose – The purpose of this chapter is to project the global emergence of megacities through the 21st century using population scenarios consistent with the Special Report on Emissions Scenarios (SRES) of the Intergovernmental Panel on Climate Change (IPCC).

Methodology – A dynamic urban growth model is developed based on a scale-independent theory of growing networks taking into consideration the geographical and climatic suitability of the location of cities. The model is able to generate a series of megacity projections consistent with an experimental city size distribution based on a national urban population scenario consistent with Zipf's law. The model is applied to population projections for 45,316 cities around the world using three population scenarios from SRES.

Findings – All of the projections indicate that a large number of megacities will be generated in developing regions towards 2100, although the range is wide and depends on the population assumed in the scenarios. Some results indicate an extreme population concentration in megacities; this might be undesirable for national security, quality of life, and sustainable development. Transport policies affect urban growth and national land development through changes in mobility and accessibility across the nation.

Implications – The results presented in this chapter could serve to stimulate discussions on urban and national transport policies and planning, particularly in China.

This study addresses the COVID-19 infection and its relationship with the city’s constructive intensity, commuting time to work and labor market dynamics during the lockdown period.

Microdata from formal workers in Recife was used to adjust a probability model for disease contraction.

The authors' results indicate that greater distance to employment increases the probability of infection. The same applies to constructive intensity, suggesting that residences in denser areas, such as apartments in buildings, condominiums and informal settlements, elevate the chances of contracting the disease. It is also observed that formal workers with completed higher education have lower infection risks, while healthcare professionals on the frontlines of combating the disease face higher risks than others. The lockdown effectively reduced contagion by limiting people’s mobility during the specified period.

The research shows important causal relationships, making it possible to think about public policies for the health of individuals both when commuting to work and in living conditions, aiming to control contagion by COVID-19.

The lockdown effectively reduced contagion by limiting people’s mobility during the specified period.

It is also observed that formal workers with completed higher education have lower infection risks, while healthcare professionals on the frontlines of combating the disease face higher risks than others.

The authors identified positive and significant relationships between these urban characteristics and increased contagion, controlling for neighborhood, individual characteristics, comorbidities, occupations and economic activities.

The aim is to depict the effects of the rural-urban transformation visible in most western societies during the last few decades by examining the Swedish-speaking part of Finland, a geographically divided region kept together by a common language and culture. Everything from the remotely rural to the very central urban is represented here, as well as all possible types of outcomes of the post-industrial urbanization process: growing metropolitan centres, suburbs and commuting areas, declining smaller regional centres, counter-urbanization, and both viable and declining rural areas.

Population mobility may upset the formation (or preservation) of communities, and while these are vital for any sound and well-functioning society, we see a sense of community as especially crucial for the survival of minority populations. The empirical study consists of an overview of demographic trends during the time period from 1980 onwards to 2012, and in parallel, an overview of mobility patterns between urban and rural areas as well as of commuting.

The late modern trend of counter-urbanization is visible in our material, but still, while this does not extend outside the narrow commuting area, counter-urbanization may not be comprehended as a major trend in the Swedish-speaking regions. The main finding is the effect on communities of urbanization and counter-urbanization depicted by the ability to ‘live in Swedish’ in the different types of areas on the rural-urban scale. The study shows that while an area seemingly thrives, with evidence of population growth and in-migration, a high level of mobility may still hurt the prerequisites for community formation.