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The Smart Cities Mission (SCM) in India is generating significant interest among researchers and policymakers globally. Cities under the SCM, irrespective of their locations, size, capacities or local needs, are heavily investing in technological solutions to improve civic conditions. The purpose of this paper is to build a typology and urban classification system of these 100 smart cities using a series of key performance indicators (KPIs) around urban development and access to public services. The paper also systematically recognises the diversity of challenges facing these cities and assess whether a generic technology-based approach is adequate to address them.

A two-stage statistical process is employed in this typology building exercise – first, a cluster analysis is conducted to classify the selected cities, then a multiple discriminant analysis is used to characterise each classified city.

The urban typology analysis finds that vast disparities remain across India’s urban centres, located in different geographical regions, in terms of access to social capital and physical infrastructure. The KPIs around education, health and social services emerged from the analysis as the most significant drivers in the urban typology building process. The lack of basic community infrastructure, especially in the small-to-medium-sized cities in India, exposes the shortcomings of a one-size-fits-all technocratic smart city development strategy that assumes foundational infrastructure is already in place for technology to take effect.

The research methodologies developed in this paper offers a novel planning approach for smart city policymakers to devise place-based smart city interventions, acknowledging diverse cultures and specific community needs.

Professionals’ market knowledge and business experience can facilitate transactions of residential property potentially impacted by stigmatised installations, such as large-scale public infrastructure. The purpose of this paper is to explore perceptions and assessments among homeowners, valuers (appraisers) and real estate agents (realtors) regarding infrastructure in general and high voltage overhead transmission lines (HVOTLs) in particular.

Informed by a literature review, separate surveys in Queensland, Australia, analyse via non-parametric and parametric means informational and perceptual variables concerning HVOTLs among 600 homeowners, 90 valuers and 90 real estate agents.

The findings reveal statistically significant differences in risk and valuation perceptions of homeowners, valuers and real estate agents relating to the placement of major linear forms of infrastructure.

This study adds to a now-solid body of literature pertaining to property effects of HVOTLs. It extends the analysis among classes of real estate professionals and provides new comparisons for further analysis and commentary.

The results speak to property professionals, land use planning and electricity authorities. Prior research can be triangulated with that obtained here from valuers and real estate agents who act as informants, gatekeepers and confidants in the market place. Various hypotheses address specific points of professional practice.

This study shows that property professionals’ disposition to HVOTLs and other large-scale infrastructure is likely to be a good deal more measured than that of homeowners, so that valuers and real estate agents might exercise a mediating influence in placement and installations decisions.

This research raises understanding of differences in market knowledge and perception of essential infrastructure among clients and property agents. As a point of difference, it concentrates on examining empirically what texts refer to as “information asymmetry” in residential real estate markets.

Despite growing interest in misconduct spillovers – where unimplicated bystanders’ stock prices, reputations, resources, and opportunities are positively or negatively affected by others’ misconduct – theory about spillovers’ antecedents has largely focused on industry or product similarity, and has used the same characteristics to argue for both positive and negative spillovers. Furthermore, limited research has considered both positive and negative spillovers together, instead focusing on one kind of spillover or the other in isolation, thereby creating a lack of theoretical integration within the literature. In this chapter, we draw on attribution theory and expectancy violations theory to explain when and how misconduct incurs positive and negative spillovers. We argue that a spillover’s valence depends on the locus of attributions made by stakeholders, where the misconduct’s causes are attributed to the perpetrator alone (i.e., an isolated attribution) – resulting in positive spillovers – or the misconduct’s causes are perceived as indicative of a systemic problem shared among a broader set of organizations (i.e., a systemic attribution), leading to negative spillovers. We further suggest that the misconduct’s nature and misconduct prevalence within a perpetrator and among other firms influences stakeholders’ attributions, and ultimately the spillover’s valence. Our theory contributes to the organizational misconduct literature by providing a unifying theoretical framework to understand both positive and negative spillovers.

This chapter discusses how the real options theory can be useful for understanding the adoption of human resources management (HRM) practices. The authors review how the real options theory has provided insights into the processes through which firms manage uncertainties involved in the adoption of HRM practices. The authors offer propositions for future HRM research from the real options perspective. The authors contend that analyzing HRM practice adoptions through the lens of real options theory can enhance our understanding of the mechanisms through which firms choose which HRM practices to adopt and how they adjust the timing, scale, and methods of investment in these practices. Specifically, the authors suggest that differences in information relevant to valuation of HRM options are the source of distinct choices of HRM options across firms. Finally, the authors propose advancing knowledge on HRM practice adoptions by using a portfolio of options approach, as well as considering factors like competitors, path dependence, and switching options.