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This study aims to examine the impacts various types of resources had on customer effort in mandatory and voluntary value cocreation activities and the contribution of efforts in these different activity types to quality of life.

Data from customers across five chronic health conditions were collected through an online survey. Rasch analysis helped identify hierarchies of activities representing varying levels of effort across four activity types (mandatory (customer), mandatory (customer or organization), voluntary in-role and voluntary extra-role activities). The conceptual model that was developed to examine the relationships of interest was analyzed using partial least squares structural equation modeling.

While clinical resources helped mandatory activities and personal network resources facilitated voluntary activities, psychological resources had greater impacts on customer effort across the whole range of activities. Effort in each activity type contributed to the quality of life differently, with voluntary activities having the greatest impacts on quality of life.

This study lends support to a holistic approach to health service that requires the mobilization of networks of resources to encourage customers’ engagement in a broad range of activities. Understanding the resources facilitating effort in distinct activity types provides insights to develop strategies to drive value cocreation efforts that subsequently contribute to improvements in quality of life.

Drawing on an extensive and nuanced categorization of activities, this study broadened the understanding of the networks of resources that are integrated in customer value cocreation processes and the link between value cocreation efforts and quality of life.

In this paper, the authors examine the relation between cross-listing and the noncompliance with the mandatory corporate social responsibility (CSR) expenditure regulation in India, the first country to legally mandate the CSR expenditure.

The authors apply panel logit and ordinary least square (OLS) regression models to examine the impact of cross-listing on the noncompliance with the mandatory CSR expenditure regulation because panel regression has lesser multicollinearity problems and has the benefit of controlling for individual or time heterogeneity mostly present in cross-section or time series data.

Using a sample of 1,027 listed Indian firms, the authors show that the cross-listed firms are more likely to comply with the mandatory CSR expenditure than non-cross-listed firms. The authors further show that this relation holds only for those firms which are exposed to higher agency problems, for firms affiliated to business groups and for firms operating in high litigation risk industries. Finally, the authors show that cross-listed firms complying with the mandatory CSR expenditure command more valuation premiums.

This study’s results suggest that the noncompliance of the Indian firms with the mandatory CSR expenditure regulation comes down once they cross-list their shares in the US or the UK since such firms have to bond to the stronger corporate governance standards of the listed country. Hence, the authors recommend that merely making the investment in CSR activities mandatory may not serve the purpose and the convergence in corporate governance as well as compliance with the CSR expenditure can be achieved through cross-listing in US and UK markets.

One, the authors analyze the effect of cross-listing on the likelihood and magnitude of noncompliance with the CSR mandate. Two, this study is based in India where CSR expenditure has been made mandatory under the Companies Act, 2013. Using CSR mandate as a natural experiment, the authors have access to a richer data set on CSR in terms of the actual expenditure made by the company on CSR activities and the mandatory amount to be spent in a particular year.

The purpose of this paper is to suggest a typology of customer value cocreation activities and explore the psychological drivers and quality of life outcomes of such activities in a complex health care service setting.

Focus groups with people with Type 2 diabetes and in-depth interviews with diabetes educators were conducted.

Four types of customer value cocreation activities were found (mandatory (customer), mandatory (customer or organization), voluntary in-role and voluntary extra-role activities). In addition, health locus of control, self-efficacy, optimism, regulatory focus and expected benefits are identified as key psychological factors underlying the customers’ motivation to be active resource integrators and resulting in physical, psychological, existential and social well-being.

The study highlights the various types of customer value cocreation activities and how these affect the various quality of life dimensions.

Drawing on an extensive range of activities across different types, including mandatory (customer), mandatory (customer or organisation), voluntary in-role and voluntary extra-role activities, this study aims to identify different health-care customer value cocreation practice styles based on the combinations of value cocreation activities they undertake and empirically examine how customers adopting different styles differ in terms of well-being and satisfaction.

The study was conducted across health customers with a variety of chronic conditions. Data were collected from three focus groups and an online survey.

Five customer practice styles, namely, the highly active, other-oriented, provider-oriented, self-oriented and passive compliant customers, were revealed. While a moderate to a high level of activities is often recommended as it is associated with higher levels of physical, psychological, existential and social well-being and customer satisfaction, the results also suggest there is no single ideal style as different styles may be associated with the same level of outcomes.

As customers cocreate value differently, it is crucial to understand the underlying heterogeneity and its implications to outcomes.

Highly active and provider-oriented are the two styles that should be particularly encouraged because of their association with positive outcomes. Personalised strategies need to be developed and resources need to be put in place to build productive relationships amongst service providers, customers and peers and to increase the perceived value of such interactions so as to shift customers towards more active styles.

The study advances the understanding of customer value cocreation and its link to well-being by empirically deriving five distinct practice styles and demonstrating how they differ across meaningful well-being and satisfaction dimensions.

The purpose of this paper is to examine whether fun in the workplace inadvertently leads to greater incidences of unwanted sexual attention. Specifically, this research examined the relationship between three dimensions of fun and unwanted sexual attention – fun activities, coworker socializing and manager support for fun.

Multiple regression was used to analyze survey data from three Qualtrics business panels.

Fun activities were related to greater incidences of unwanted sexual attention, while manager support for fun was related to fewer instances. With respect to fun activities, mandatory attendance and holding the activities on nights and weekends were associated with further increased unwanted sexual attention. The presence of non-employees during activities was associated with fewer incidences.

The data on fun in the workplace and unwanted sexual attention were obtained at one point in time. Future research would be valuable that obtains data collected at multiple points in time to more fully substantiate cause-and-effect relationships.

Employers may seek to foster a climate in which managers encourage employees to have fun on the job as well as one that explicitly focuses on preventing sexual harassment. Curbing unwanted sexual attention during fun activities may be facilitated by involving non-employees, refraining from holding activities at night and on weekends and keeping employee participation voluntary.

From the perspective of fun in the workplace, this research has demonstrated fun activities may have unintended, adverse consequences. From the perspective of sexual harassment, this research has identified antecedents not typically be considered to be contributing factors of unwanted sexual attention.

This paper aims to examine the relation between promoter ownership (PO) and corporate social responsibility (CSR) expenditure in India, the first country to legally mandate the CSR spending.

This paper applies panel regression to examine the impact of PO on actual and excess CSR expenditure because panel regression has lesser multicollinearity problems and has the benefit of controlling for individual or time heterogeneity mostly present in cross-section or time series data. The results are robust to testing the CSR expenditure decision (to engage or not to engage in CSR) by using the binary choice logit model.

Based on the agency theory, this study shows a nonlinear relation between PO and CSR expenditure, which suggests that promoters start extracting private benefits of control at the expense of outside shareholders and engage in lesser CSR expenditure only when their ownership crosses a threshold level of 52% approximately. This study further shows that the nonlinear relation between PO and CSR expenditure is more pronounced for firms that are more prone to agency problems, for business group firms than standalone firms and for firms not following the Companies Act 2013 CSR mandate.

The findings shed light at the idea of how promoters’ incentive alignment should be proposed and followed to encourage a firm’s social investment activities.

First, this study argues that the relation between PO and CSR expenditure is nonlinear in nature, by showing that the impact of PO on CSR expenditure is adverse only at higher level of PO. Second, this study’s richer data set on CSR expenditure not only allows the authors to analyze the relation for actual CSR spending by the firms but also helps to examine the excess spending made over and above the mandatory spending, as directed by the Companies Act, 2013.

This chapter presents a critical examination of the interaction between concepts such as equity and accessibility in a framework of sustainable and inclusive urban development. The analysis compiles a series of reflections that build on previous research that focusses on the role of transport as enabler of opportunities for material and social capital, healthcare and leisure, which contribute to human development and well-being. The research discusses accessibility metrics for mandatory and non-mandatory travel in the context of current global agendas for social and development policies. It also introduces methodological reflections in relation to the analysis of accessibility indices from an equity perspective highlighting the role of equity metrics such as the Palma ratio and Lorenz curves. The authors link accessibility and urban development seeking to inform current approaches for policy development and assessment in a context of high manifested inequity. The research is set in the context of the Bogotá Metropolitan Region, a paradigmatic case of transport development and policy in the Global South. The findings seek to contribute to present transport policy and practice, providing relevant insights to support actions that redistribute accessibility to opportunities and questioning some of the paradigms of mainstream transport planning in cities like Bogotá, suggesting a more relevant role of transport policy as a potential engine of equity and social development.

This paper aims to focus on applying a range of traditional classification- and semantic reasoning-based techniques to recognise activities of daily life (ADLs). ADL recognition plays an important role in tracking functional decline among elderly people who suffer from Alzheimer’s disease. Accurate recognition enables smart environments to support and assist the elderly to lead an independent life for as long as possible. However, the ability to represent the complex structure of an ADL in a flexible manner remains a challenge.

This paper presents an ADL recognition approach, which uses a hierarchical structure for the representation and modelling of the activities, its associated tasks and their relationships. This study describes an approach in constructing ADLs based on a task-specific and intention-oriented plan representation language called Asbru. The proposed method is particularly flexible and adaptable for caregivers to be able to model daily schedules for Alzheimer’s patients.

A proof of concept prototype evaluation has been conducted for the validation of the proposed ADL recognition engine, which has comparable recognition results with existing ADL recognition approaches.

The work presented in this paper is novel, as the developed ADL recognition approach takes into account all relationships and dependencies within the modelled ADLs. This is very useful when conducting activity recognition with very limited features.

The aim of the research work presented in this paper is to investigate a mechanism that can recognise high level activities (for example, going for a walk, travelling on the bus, doing evening activity, etc.) and behaviour of low entropy people (people with regular daily life routines, e.g. elderly people with dementia, patients with regular routines) in order to help them improve their health related daily life activities by using wireless proximity data (e.g. Bluetooth, Wi‐Fi).

The paper adopted a tiered approach to recognise activities and behaviour. Higher level activities are divided into sub‐activities and tasks. Separating the tasks from the raw wireless proximity data is achieved by designing task separator (TASE) algorithm. TASE takes wireless proximity data as an input and separates it into different tasks. These detected tasks and the high level daily activity plans that are made in a planning language Asbru, are then fed into the activity recogniser that compares the detected tasks with the plans and recognises the high level activities that the user is performing.

The paper provides an insight to how only wireless proximity data can be utilised to recognise high level activities and behaviour of individuals. A number of scenarios and experiments are designed to prove the validity of the proposed methodology.

This paper focussed on relatively low entropy individuals with regular routines and behavioural patterns which can be improved by increasing the level of entropies in behavioural routines.

The paper includes implications for the utilisation in health care environments for elderly people and physically impaired individuals.

This paper provides a detailed and original study of algorithms and techniques that can be used to recognise high level activities and behaviour of individuals by using only wireless proximity data.

The purpose of this study is to provide a full understanding of library use patterns in their full temporal and spatial environment. By analyzing individuals' daily travel activity, this study seeks to measure the travel distance and travel time of library users in multi‐destination trip settings.

The data set for analysis was collected from the Metropolitan Travel Survey Archive, which stores 79 household daily travel data sets. Daily activities of 409 people who visited public libraries were extracted from the Puget Sound Region data set.

Through the analysis, four library access patterns were identified: single‐destination, en route, base camp, and trip‐chaining trips. Only 20 percent of library users made single‐destination trips, while 80 percent of users made trips of a multi‐destination nature; these are depicted by the latter three listed patterns. In particular, 62.2 percent of the activities fell into the trip‐chaining travel pattern. Such a pattern is defined as “discretionary activities which include a library visit.” Findings indicate that although travel distance is still a constraint to library access, travel time is a more informative factor than travel distance for gaining a richer understanding of the nature of library visits.

This study develops new measurements of travel distance and time, D_library and T_library respectively, enabling more accurate measures of travel distance and time, and further supporting precise measurements of the portions of multi‐destination trips most relevant to library visits.