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This paper is concerned with the study of grease reaction by tribological stress. To observe the change of the viscoelastic properties by shearing the grease, rheometer tests were done. In addition to the flow behaviour, we investigated the friction process by using some tribometer. The tribological characteristics of the lubricant are determined with the help of energetic parameters. The interpretation of the results shows a correlation between viscoelastic properties and friction behaviour and an interesting dependence of storage modulus and shear stress. The results are considered to be useful information on the tribology of greases.

This paper presents a tribological analysis of a grease lubricated contact with a consideration of the grease structure (density distribution).

The purpose of this paper is to clarify the methodological logic of coproductive research approaches like action research, collaborative research, interactive research and participatory research in a way that can clarify its effectiveness and scientific qualities in high quality knowledge production, and show the way that it can be integrated with institutionalized textbook science.

The paper clarifies the character of coproduction as research methodology concept, the logic of coproductive research approaches, and its characteristics compared to quantitative and qualitative methodology. A model for characterizing research approaches from leading textbook social science is developed to specify the character of coproductive research approaches and support integration in mainstream research methodology discussions.

The paper develops a research methodology framework for coproductive logic and approaches to research, to support the integration of this type of approaches in mainstream research methodology.

The developed model of coproductive research approaches is not empirically described. Therefore, researchers are encouraged to test and further develop the model in relation to cases and designs of research projects.

The paper is helpful for guiding the design of coproductive research in practice, i.e., in research project development or in research methodology education.

The development of coproductive research approaches supports making science relevant and useful for solving pressing problems and improving social conditions. It also is enabling stakeholders to participate in research and development processes, thus the democratization of research and knowledge production.

The paper contributes to integration of the family of coproductive approaches in mainstream research methodology discussion through the development and elaboration of a framework for organizing the description and development of coproductive research approaches. The aim is that the framework is valuable for both academics, practitioners and students in designing coproductive research projects.

We investigate how career disruptions in terms of job loss may impact morbidity for individuals diagnosed with type 2 diabetes (T2D). Combining unique, high-quality longitudinal data from the Swedish National Diabetes Register (NDR) with matched employer–employee data, we focus on individuals diagnosed with T2D, who are established on the labor market and who lose their job in a mass layoff. Using a conditional difference-in-differences evaluation approach, our results give limited support for job loss having an impact on health behavior, diabetes progression, and cardiovascular risk factors.

Advances in information technology have enabled new ways of organizing work and led to a proliferation of what is known as the “gig economy.” While much attention has been paid to how these new organizational designs have upended traditional employee–employer relationships, there has been little consideration of how these changes have impacted the social norms and expectations that govern the relationship between workers and consumers. The purpose of this paper is to consider the social norm of tipping and propose that gig work is associated with a breakdown of tipping norms in part because of workers’ increased autonomy in terms of deciding when and whether to work.

The authors present four studies to support their hypothesis: a survey vignette experiment with workers on Amazon Mechanical Turk (Study 1), an analysis of New York City taxi data (Study 2), a field experiment with restaurant employee food delivery drivers (Study 3) and a field experiment with gig-worker food delivery drivers (Study 4).

In Studies 1 and 2, they find that consumers are less likely to tip when workers have autonomy in deciding whether to complete a task. In Study 3, they find that restaurant delivery employees notice upfront tips (or lack thereof) and alter their service as a result. In contrast, in Study 4, they find that gig-workers who agree to complete a delivery for a fixed amount that includes an upfront tip (or lack thereof) are not responsive to tips. Together, these findings suggest that the gig economy has not only transformed employee-employer relationships, but has also altered the norms and expectations of consumers and workers.

The authors present four different studies that consider the social norm of tipping in the context of gig work. Together, they highlight that perceptions of worker autonomy have driven the decline in tipping norms associated with gig work.

Theory testing is part of sociological analysis and the procedural aspects of problem solving are bounded, to a certain extent, by an “explicit set of operations” (Dubin, 1969). Broadly stated, validation assessment is judged to be satisfactory if the researcher interprets the theoretical constructs of the paradigm correctly, if he has used adequate methods to test the paradigm, and if the results are interpreted correctly (Whitsett and Winslow, 1967: 413). Unfortunately, most attempts at theory testing merely serve to highlight the discrepancy between what the researcher is obliged to do and what occurs in practice. On this basis, the research situation invariably leads to the prolongation of controversies in the social sciences. Importantly, if the prolongment of a controversy is taken as the gauge of the prevalence of interpretative and testing errors, then controversies are deserving of close scrutiny for the lessons they provide concerning the ways in which “the breakdown of a paradigm” (Kuhn, 1962) is inhibited. In making the assumption that a lengthy (and sometimes heated) controversy would provide a more varied lesson content, it follows that the means is provided for approaching the issue of theory testing from the standpoint of the inadequacy of the repeated tests of certain theories.

Although ethics are frequently debated within the social marketing literature, there has been very little empirical study of deliberate ethical transgressions in promoting a good cause. The current study therefore aims to contribute by examining public reaction to the Fakegate scandal involving a climate scientist’s use of ethically questionable tactics in the “selling” of the anthropogenic global warming (AGW) cause.

Content analysis catalogues the Fakegate justifications and criticisms used by eight UK and US print media editorials and 1,010 associated reader comments.

Among the argument classification categories, the most common Fakegate justifications rely on a utilitarian “greater good” ethics perspective, while the most frequent criticisms rely on a normative “violation of rules” ethics perspective. AGW believers represent nearly all the scandal justifiers, while AGW skeptics and a substantial minority of AGW believers represent the critics.

Content material is limited to only the Fakegate case and people with enough interest to contribute a relevant comment, although the expressed viewpoints may be more widely representative because they are generally consistent with findings from the AGW public opinion polls.

This study provides an understanding of the ethical dilemma that social marketers face when assigned a “difficult-to-sell” good cause. The findings of the widespread public skepticism toward the AGW cause suggest that social marketers should resist the temptation of using ethically questionable tactics in such difficult cases. Unfortunately, honest and effective AGW “selling” may be impossible until current technology and policy tradeoffs are reduced.

I feel compelled to present this lecture by some of the strongest of intellectual needs, namely to establish the relationship of my own work and interests to those of other disciplines. Some terrors lie in the revealing of the character of that work, however, particularly the fact that it combines extremes of nitpicking and speculativeness. Special terrors lie in the realization that formidable intellectual disciplines are on a collision path with that work.

The purpose is to explore how the configurations resulting from the interplay of last mile logistics practices and firm characteristics are associated with firm performance in an omni-channel context.

Drawing on configuration theory (CT), the authors use fuzzy-set qualitative comparative analysis (fsQCA) to analyze data on 72 Swedish omni-channel retailers.

Four configurations are identified—store-oriented small and medium-sized enterprises (SME's), online-oriented SME's, large store-oriented retailers and large online-oriented retailers. The results show that while offering a wide range of delivery options is necessary to achieve high performance, it is not sufficient, and that returns and fulfilment should be simultaneously considered. For instance, large high-performers leverage their stores and warehouses for fulfilment and returns in an integrated way irrespective of sales channel-mix. However, SME's appear to focus on fulfilment simplicity with less-costly delivery alternatives, where store-oriented SME's leverage stores and the online-oriented counterparts leverage warehouses. Consequently, the authors develop a configurational taxonomy and discuss a set of recipes which provide insights for researchers and practitioners.

The study provides a more comprehensive understanding of the pathways to success, and potential pitfalls, in the last mile logistics context.

This study applies a novel methodology in the field, namely fsQCA, to explore the paths to competitive advantage. It covers a wide range of stages in the LM including back-end fulfilment, delivery and returns. It also provides insight into the logistics practices of both SME's and large omni-channel retailers.