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Collaborative consumption firms leverage networked peers, communicating, collaborating and even delivering services to one another through a central marketplace channel. This raises questions as to the nature of this new form of digital channel strategy and deployment from a firm’s perspective. As a first step, this research seeks to help bridge the gap in knowledge by establishing an understanding of the digital channel usage of collaborative consumption firms.

A qualitative content analysis of 30 collaborative consumption firms was conducted using multiple data sources and coded into typologies against a predetermined coding scheme. These results were then compared against existing literature on digital channel usage in regards to a wider company usage.

This study identifies the digital channel usage and digital channel typology of each of the 30 firms associated within the collaborative consumption domain. The study shows a distinct increase in the use of social and community digital channels between traditional firms and collaborative consumption firms. As a result of this study, a concise definition of a collaborative consumption firm is provided, the digital channel usage of collaborative consumption firms is detailed and insights are provided for each sub-type of collaborative consumption.

This study contributes to the understanding of the collaborative consumption phenomena, the business model of collaborative consumption firms and digital channels. This study assists in describing the shift from traditional firms to peer-to-peer systems. Finally, a theoretical model is provided that demonstrates the nuance of collaborative consumption channel choice within each subcategory for future researchers to test and reflect upon.

This study demonstrates how collaborative consumption firms are allowing customers to drive interaction rather than traditional business-to-customer messages. A theoretical model is provided which shows contemporary marketers how to best dictate a digital channel strategy for a collaborative consumption style initiative.

Contributions include: a definition of what a collaborative consumption firm and its channels pertain to and how to design a collaborative consumption digital channel strategy. This study presents a digital channel comparison between collaborative consumption firms and traditional organisations.

To inform policy, curricula, and future research on cyberbullying through an exploration of the moral reasoning of digitally active 10–14-year olds (tweens) when witnesses to digital abuse.

Conducted interviews with 41 tweens, asking participants to react as witnesses to two hypothetical scenarios of digital abuse. Through thematic analysis of the interviews, I developed and applied a new typology for classifying “upstanders” and “bystanders” to cyberbullying.

Identified three types of upstander and five types of bystander, along with five thinking processes that led participants to react in those different ways. Upstanders were more likely than bystanders to think through a scenario using high-order moral reasoning processes like disinterested perspective-taking. Moral reasoning, emotions, and contextual factors, as well as participant gender and home school district, all appeared to play a role in determining how participants responded to cyberbullying scenarios.

Hypothetical scenarios posed in interviews cannot substitute for case studies of real events, but this qualitative analysis has produced a framework for classifying upstanding and bystanding behavior that can inform future studies and approaches to digital ethics education.

This study contributes to the literature on cyberbullying and moral reasoning through in-depth interviews with tweens that record the complexity and context-dependency of thinking processes like perspective-taking among an understudied but critical age group.

Although questions about nonhuman animal mind and selfhood have been a long-standing interest of philosophers, psychologists, biologists, and cognitive ethologists, sociologists have been reluctant to acknowledge the importance of such questions. This is due, in part, to George Herbert Mead’s denial of consciousness, especially self-consciousness, in animals. Indeed, the exclusion of nonhuman consciousness was a fundamental axiom of Mead’s very conceptions of mind and self. However, recently a growing number symbolic interactionists have begun to build a body of research that demands a reconsideration of Mead’s anthropocentric and phonocentric definitions of mind, self, and the nonhuman participants who cohabit the everyday world of social life. Here we provide a brief account of their work and present evidence from evolutionary biology, cognitive ethology, and neuroscience that strongly validates their contention that the processes of consciousness and self, which constitute the cornerstone of meaningful social action and interaction, can no longer be denied to several species of nonhuman animals.

Reputational crisis negatively affects brands and companies. This chapter, based on a single case study, aims to explore how prejudicial corporate statements directed toward lesbian, gay, bisexual, and transgender (LGBT) individuals have affected the Italian multinational Barilla S.p.A., as well as how the company responded both internally and to the market in order to attempt to overcome the highly damaging consequences.

This chapter uses a single case-study methodology, which constitutes “a research strategy that focuses on understanding the dynamics present within single settings to create theoretical constructs, propositions and/or midrange theory from empirical evidence” (Eisenhardt, 1989, p. 534). The case-study design was chosen as it has been demonstrated to provide a methodological tool for both theory generation and theory testing (Gibbert et al., 2008).

Conclusions from the chapter indicate that negative, incendiary, and oftentimes comments citing either religious or stereotypical-based ideology negatively impact both the consumers and its associated publics in terms of product branding or reputation image.

The study’s limitations, which rely primarily on a single case study and secondary research data, may motivate further investigative avenues, particularly as similarly referenced events continue to unfold almost daily, such as the study’s referenced incident with Philippine boxer Manny Pacquiao, as well as action taken by social media giants (Apple and Facebook) against the controversial media figure Alex Jones.

This chapter also looks at family succession roadblocks and navigating social media gaffes. These contemporary issues highlight challenges, strategies, sales and market share dynamics for the company, and suggestions for navigating the road ahead. The research concludes with possible linkages and insights for both ongoing management issues and potential areas for future research. Other findings indicate that rapid responses, particularly those citing concrete corporate policy changes or tangible actions, help to reverse and mitigate reputational damage, and contemporary approaches utilizing social media appear to buttress these efforts.

This case study of Barilla as well as other firms mentioned, such as Chick-fil-A and Nike (which have experienced parallel situational crises), indicates that in only the last five years of contemporary international business practice, MNEs are continually and at times unexpectedly challenged by the lack of sensitivity demonstrated by their owners and spokespeople who utter comments which may be seen by the public as potentially harmful to the LGBT community. This study hopes to illuminate this challenge while offering tangible solutions to turning around future, similar situational crises.

Using risk-related data often require a significant amount of upfront work to collect, extract and transform data. In addition, the lack of a consistent data structure hinders the development of tools that can be used with more than one set of data. The purpose of this paper is to report on an effort to solve these problems through the development of extensible, internally consistent schemas for risk-related data.

The consortia coordinated their efforts so the hazard, exposure and vulnerability schemas are compatible. Hazard data can be provided as either event footprints or stochastic catalogs. Exposure classes include buildings, infrastructure, agriculture, livestock, forestry and socio-economic data. The vulnerability component includes fragility and vulnerability functions and indicators for physical and social vulnerability. The schemas also provide the ability to define uncertainties and allow the scoring of vulnerability data for relevance and quality.

As a proof of concept, the schemas were populated with data for Tanzania and with exposure data for several other countries.

The data schema and data exploration tool are open source and, if widely accepted, could become widely used by practitioners.

A single set of hazard, exposure and vulnerability schemas will not fit all purposes. Tools will be needed to transform the data into other formats.

This paper describes extensible, internally consistent, multi-hazard, exposure and vulnerability schemas that can be used to store disaster risk-related data and a data exploration tool that promotes data discovery and use.

In the last ten years, businesses taking advantage of market deregulation, call‐centre, intranet and internet technology have broken traditional marketing norms and path‐dependent customer management practices. These businesses offer substantially lower prices and good customer service. In spite of anecdotal evidence of the high level of service complaints in the press, these businesses are expanding rapidly by growing the market and by taking share from traditional suppliers. Service failure recovery and complaint management are two areas which are extensively re‐designed by such businesses. This paper aims to identify and examine such new practices. The authors suggest that the traditional “customer‐centricity” model is being replaced by a “customer‐compliance business model” (CCBM) of service provision. This new model and its propositions defy conventional thinking in the areas of service recovery and complaint management.

Available data and research are reviewed, in an attempt to understand CCBM. Differences with the customer‐centricity model are discussed.

CCBM cannot be explained adequately by current assumptions in marketing. It breaks commonplace marketing expectations about service failure and recovery.

The emphasis is on explaining innovations in service recovery and complaint management.

Companies which operate the CCBM model are of growing importance to developed, service‐oriented economies. The paper builds on evidence to show how CCBM businesses have abandoned or minimised costly customer centricity and have broken past norms and conventional marketing thinking and practice.

The scarcity of research in this area is explained by the recent, rapid evolution of these new model businesses. The study reveals and makes sense of important trends in service provision, distinct from and incompatible with normative arguments in some academic writings that advocate service recovery excellence.

Construction projects are susceptible to cost and time overruns. Variations from planned schedule and cost estimates can result in huge losses for owners and contractors. In extreme cases, the viability of the project itself is jeopardised as a result of variations from baseline plans. Hence new methods and techniques which assist project managers in forecasting the expected variance in schedule and cost should be developed. This paper proposes a judgment‐based forecasting approach which will identify schedule variances from a baseline plan for typical construction projects. The proposed forecasting approach adopts multiple regression techniques and further utilises neural networks to capture the decision‐making procedure of project experts involved in schedule monitoring and prediction. The models developed were applied to a multistorey building project under construction and were found feasible for use in similar construction projects. The advantages and limitations of these two modelling process for prediction of schedule variance are discussed. The developed models were integrated with existing project management computer systems for the convenient and realistic generation of revised schedules at appropriate junctures during the progress of the project.

The attention of the Board is drawn from time to time to advertisements in trade papers and circulars of preservative substances sold under proprietary names. These consist for the most part of well‐known preservatives or mixtures of preservatives which are easily detected by the analyst in food substances to which they have been added. A new preservative, sold under the name of “Mystin,” for preserving milk and cream has recently been advertised as possessing the advantage that its presence cannot be detected by analysis. Samples have been sent to farmers and milk vendors accompanied by a trade circular from which the following extracts have been taken:—