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The tobacco industry consistently opposes measures that would limit their marketing, but provides little empirical evidence to support its position. This paper aims to test claims that pictorial health warnings on tobacco products would be no more effective than text‐only warnings.

Three studies used face‐to‐face interviews with smokers and non‐smokers to compare pictorial and text‐only warnings. Two studies used semantic differential scales to estimate cognitive and affective responses to pictorial and text‐only warnings, and the Juster Scale to provide behavioural estimates. The final study used best worst scaling to compare paired pictorial and text‐only warnings.

Images featuring medical and social images elicited stronger affective, cognitive and behavioural responses than a control, text‐only message. Comparisons of refreshed text and pictorial warnings found the latter elicited stronger reactions while the former produced similar results to the control. Updating text warnings did not render these more effective; however, adding an image to an existing text warning made this more effective than the control.

Arguments advanced by the tobacco industry need empirical analysis to assess their validity.

This study provides evidence that pictorial health warnings are more effective than text warnings and suggests that refreshing the text used in warning labels, the alternative promoted by the tobacco industry, would be less effective than introducing pictorial warnings.

This is the first comparison of pictorial and refreshed text warnings; the findings challenge the tobacco industry's position on tobacco warning labels and contradict arguments used to oppose the introduction of pictorial warning labels.

This article introduces the best-worst scaling object case, a quantitative method of producing individual level models of heterogeneous perceptions, for use in behavioural decision making research in projects. Heterogeneous individual perceptions refer to observed or unobserved differences between individual perceptions that impact the outcome being studied. Individual level models of perceptions are important to account for the impact of heterogeneous perceptions on measurement tasks, so they do not become an unobserved source of variance that potentially biases research inferences.

An overview of individual heterogeneity is provided highlighting the requirement for individual level models in quantitative perception measurements. A literature review is then conducted of the quantitative methods and tasks used to measure perceptions in behavioural decision making research in projects and their potential to produce individual level models.

The existing quantitative methods cannot produce the necessary individual level models primarily due to the inability to address individual level scale effects, responses styles and biases. Therefore, individual heterogeneity in perceptions can become an unobserved source of variance that potentially biases research inferences.

A method new to project management research, the best-worst scaling object case, is proposed to produce individual level models of heterogeneous perceptions. Guidance on how to implement this method at the individual level is provided along with a discussion of possible future behavioural decision making research in projects.

This article identifies a largely unacknowledged measurement limitation of quantitative behavioural decision making research in projects and provides a practical solution: implementing the best-worst scaling object case at the individual level.

This paper aims to demonstrate how vulnerable consumer-citizens mobilize social capital following a natural disaster, showing how different forms of social capital contribute to well-being and resilience.

An embedded case study design comparing three different social networks is employed.

Understanding the active role consumer-citizens play in provisioning within social networks provides a deeper understanding of the important mechanisms that explain how different forms of social capital contribute to well-being. The three identified networks demonstrate different structural signatures composed of differing forms of social capital that arise following a natural disaster.

Drawing on social capital theory, this study contributes to advancing transformative service research, providing implications for both theory and practice.

This study is one of the first to empirically compare networks in a natural disaster context, demonstrating the effects of bonding, bridging and linking social capital on well-being and community resilience. This study shows how social network analysis can be used to model network processes and mechanisms. Findings highlight the important role of social provisioning to vulnerable consumer-citizens as an alternate form of consumption.

This study focuses on home country institutions as sources of variation in the level of foreign investment into India. Our findings support the idea that institutional voids found in India are less of a deterrent to investments from home countries with high levels of institutional development than from home countries with similar institutional voids. Overall, foreign investments in India are found to be significantly related to the strength of institutions within home countries. The levels of both approved and realized foreign direct investment (FDI) are strongly influenced by economic factors and home country regulative institutions, and weakly influenced by home country cognitive institutions. When considered separately, the cognitive institutions and regulative institutions within a given home country each significantly influence the level of approved/realized FDI into India. However, when considered jointly, only the strength of regulative institutions is predictive of FDI inflows.

My goal is to describe my life in marketing over more than 36 years and to help readers better understand (from my personal perspective) the history of marketing. I also aim to lift the curtain on some aspects of service within the marketing community.

This paper is an autobiographical sketch. It describes some key moments in my career, as well as describing how my most cited articles came to be written. It emphasizes the contextual factors at work in different periods, so readers can better understand how and why my research evolved in certain ways. I aim to convey the nature and variety of career experiences that were (and are) open to marketing academics. I discuss my experiences at the Journal of Marketing and the Marketing Science Institute.

Marketing changed rapidly between 1974 and 2017. Although change can be uncomfortable, I urge marketers to seek exposure to new ideas and practices; they are essential to learning and growth. Unexpected opportunities will come along and an alert individual can learn much from them. My time in industry was a learning experience for me. There are many kinds of interesting and successful careers.

The marketing field advances, not by the work of a single individual, but from the accumulated work of the entire marketing community. Everyone has a role to play. I encourage each individual to look for ways to contribute. I offer thoughts on how to build a research career based on my own experience.

My thoughts may shed some light on the experiences of a woman academic and the globalization of marketing academia between 1974 and 2017.

My hope is that this paper contributes to a better understanding of the history of marketing, when it is considered together with other articles on this topic. It may also be useful to people who are embarking upon a career, as well as those seeking to understand the work of earlier marketing scholars.