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One crucial but sometimes overlooked fact regarding the difference between observation in the cross-section and observation over time must be stated before proceeding further. Tempting though it is to draw conclusions about the dynamics of a process from cross-sectional observations taken as a snapshot of that process, it is a fallacious practice except under a very precise condition that is highly unlikely to obtain in processes of interest to the social scientist. That condition is known as ergodicity.

How does state repression influence levels of mobilization in authoritarian regimes? This study argues that the relationship between repression and protest is temporally dynamic. Specifically, the short- and long-term effects of autocrats' coercive actions differ conditionally on each phase of the contentious cycle. This argument is tested taking advantage of an original database of protest events in Pinochet's Chile between 1982 and 1989. Using an Interrupted Time Series design, the results show that the State of Siege declarations issued in 1984 and again in 1986 had divergent short- and long-term influence. When the cycle was on an expansive stage, the State of Siege shows no immediate influence on the protests, followed by an increase in long-term mobilization. However, when the mobilization was declining, the State of Siege was associated with an immediate and prominent drop in mobilization, followed by a progressive decrease in the number of protests over the long term. This chapter contributes to the literature on the protest–repression nexus by providing new evidence on the dynamics shaping the relationship between state repression and civil disobedience in authoritarian regimes.

Collective global leadership requires team members to attempt to influence as well as accept influence from each other across multiple cultural, linguistic, and national boundaries, which is affected by the extent to which team members perceive the team as being safe for interpersonal risk-taking or the level of psychological safety in the team. The higher levels of collective leadership can, in turn, enhance the perceived psychological safety, and thereby create more positive outcomes for the team. This reciprocal relationship may be influenced by changes in team dynamics across the different stages of a team lifecycle. Using an inductive longitudinal study of 76 teams for nine months, we uncover the time-variant mutually reinforcing relationship between collective global leadership and team psychological safety. Our results show that the strength of this reciprocal relationship varies such that it is absent in the initial stage, becomes prominent in the middle stage, and then remains present, yet somewhat weakened, in the final stage of the team lifecycle. Our results also show that the initial collective leadership patterns in the team positively affect final leadership patterns, and this relationship is mediated by the team’s psychological safety in the middle stage of the team lifecycle. We discuss implications of this study on the theory and practice of global leadership and multinational teams.

The Gangetic delta, sustaining the Sundarbans mangrove forest at the apex of the Bay of Bengal is recognized as one of the most diversified and productive ecosystems in the Indian subcontinent. The deltaic lobe is unique for its wilderness, mangrove gene pool and tiger habitat. However, due to intense industrial activities in the upstream zone, and several anthropogenic factors, the aquatic phase in the western part of the deltaic complex is exposed to pollution from domestic sewage and industrial effluents leading to serious impacts on biota. The presence of Haldia port-cum-industrial complex in the upstream region of the lower Gangetic delta (adjacent to western sector of Indian Sundarbans) has accelerated the pollution problem to a much greater dimension. The organic and inorganic wastes released from industries and urban units contain substantial concentrations of heavy metals. The present article aims to highlight the level of selective heavy metals (zinc, copper, and lead) in the water and muscle of a commercially important shellfish species (Penaeus monodon, commonly known as tiger prawn) collected from two sectors (western and central) in the Indian Sundarbans. Heavy metals are accumulated in the prawn muscle in the following order – zinc > copper > lead – which is similar to the order in the ambient estuarine water. Significant spatial variations of heavy metal concentrations in estuarine water and prawn muscle were observed between the selected sectors, which reflect the adverse impact of intense industrialization, unplanned tourism, and rapid urbanization on the mangrove ecosystem and its biotic community, particularly in the western Indian Sundarbans.

This chapter draws from psychological and organizational research to develop a conceptual model of individual temporality in the workplace. We begin by outlining several general cognitive and motivational aspects of human temporal processing, emphasizing its reliance on (a) contextual cues for temporal perception and (b) cognitive reference points for temporal evaluation. We then discuss how an individual's personal life context combines with the organizational context to shape how individuals situate their time at work through: (1) the adoption of socially constructed temporal schemas of the future; (2) the creation of personal work plans and schedules that segment and allocate one's own time looking forward; and (3) the selection of temporal referents associated with realizing specific, valued outcomes and events. Together, these elements shape how individuals perceive and evaluate their time at work and link personal time use to the broader goals of the organization.

The centrality of time to the quality and experience of our lives has led scholars from a variety of disciplines to consider its social origins, including temporal differences among social collectives. Consistent across their accounts is the acknowledgment that time is co-constructed by people via their communicative interactions and formalized through the use of symbols. The goal of this chapter is to build on these extant socio-historical accounts – which explain temporal commodification, construction, and compression in Western, industrialized organizations – to offer a perspective that is grounded in communication and premised on human agency. Specifically, it takes a chronemic approach to interrogating time in the workplace, exploring how time is a symbolic construction emergent through human interaction. It examines McGrath and Kelly's (1986) model of social entrainment as relevant to the interactional bases of time, and utilizes it and structuration theory to consider the mediation and interpenetration of four oft-cited practices in the emergence of a Westernized time orientation: industrial capitalism, the Protestant work ethic, the mechanized clock, and standardized time zones. Surrounded by contemporary workplace discussions on managing the demands of personal–professional times, this analysis employs themes of temporal commodification, construction, and compression to explore the influence of these socio-historical developments in shaping norms about the time and timing of work.

This discussion essay describes three methodological models of comparative analysis and tests a dialogue between Bartolini, Bray, and Bonilla Molina. Bartolini explores a model that combines dimensions of spatial and temporal variation noting the emphasis dedicated to synchronous cross-sectional investigation, as well as the need to think of time as a dimension of variation, as history. Bartolini summarizes the sociological and historical literature creating a data matrix to which he adds a dimension of time and outlines the case study and development of the case, the development trend, the great development theory, and a synchronous comparison of development. Bray adds items to a greater degree of specificity ranging from the spatial dimension with specific geographical units organized by varying degrees, types, and levels. The comparative analysis of the multilevel schematic occurs by the combination of: geographic levels, location from macro to micro; nonspatial population levels of large ethnic diversity, religion and gender as well as aspects of education and society including teachers, curriculum, finance, management, education, and work. Molina Bonilla presents a dynamic multidimensional model that combines all the macro and micro dimensions of education: school as a political project and as a continent and a country on the planet; as a teaching–learning process from citizenship and democracy; as a process involving students, teachers, and parents; and as a product where the spatial and temporal dimensions from the geopolitical merge into a dynamic hub that crosses stories, capital, and labor. The latter, created to assess quality, is a synthesis of the theoretical and methodological as it provides a multitude of benefits for successful comparative analysis in today’s global and international context of education.

Purpose — Fare validation data from transit smart card automatic fare collection (AFC) systems have properties that align with the direction of large-scale mobility surveys and the evermore demanding data needs of the transit industry. In addition to applications in transit planning and service monitoring, travel patterns and behaviour can effectively be studied by exploiting the continuous stream of observations from the same card. The paper proposes a methodology to enrich fare validation data in order to generate information that is hard to obtain with traditional travel surveys.

Methodology/approach — The methodology aims to synthesize individual-level attributes by summarizing multi-day validation records from each card. These new dimensions are then transposed to various levels of aggregation and studied simultaneously in multivariate analysis. The methodology can also be applied to synthesize other multi-day attributes and is transferable to other modes and other travel behaviour studies.

Findings — Results show that validation data can effectively be used to measure the distribution of travel patterns in time and space as well as the variation of those phenomena over time. The paper provides several examples based on millions of validation records from the metro sub-network of Montréal, along with interpretations and some practical implications.

Research limitations/implications — Limitations and bias regarding the data and the methodology as well as the strategies to handle them are discussed within the context of passive travel survey and travel behaviour studies.

Practical implications — Practitioners in transit planning, operations, marketing and modelling can benefit from studying the increasingly accessible and massive smart card datasets through a deeper understanding of multi-day travel patterns and behaviour of transit users.

Originality/value — This paper outlines a data modelling approach and simple-to-implement methodology which exploit the multi-day property of fare validation data from a smart card AFC. The concept of multi-day attributes is introduced. The analyses show that the approach is effective for extracting information on travel behaviour and its variation which would otherwise be hard to obtain through traditional travel surveys, opening up another dimension of this data source for practitioners and transport modellers alike.

The effects of environmental change are becoming more noticeable in the Lower Mekong Basin, where there is growing pressure on the agriculture-based livelihoods of communities living along the mainstream of the Mekong River. This chapter presents an investigation of temporal seasonal variability in four communities of Kratie Province, Cambodia, including identification of locally developed strategies to adapt to temporal changes in weather patterns. A mixed-methods approach was adopted, combining historical hydrometeorological data with participatory seasonal calendars and daily routine diaries. Seasonal calendars were compiled from nine workshops across four villages in Kratie Province, and daily diaries were collected from seven individuals across three villages. The results indicate that patterns in rainfall, flooding and drought have become more variable due to the impacts of environmental change; a phenomenon that will likely continue into the future. Without effective, locally appropriate adaptation measures, changing weather patterns will likely continue to have adverse impacts on communities in the region due to their reliance on reliable seasonal rainfall and flooding events for crop cultivation. Households and communities in the study region have already developed a number of approaches to mitigate the adverse impacts of environmental change. This research also reiterated the importance of incorporating both local knowledge and scientific data to gain the most accurate understanding of the impacts of environmental change in a given region.