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The impact of technology on the health and well-being of workers has been a topic of interest since computers and computerized technology were widely introduced in the 1980s. Of recent concern is the impact of rapid technological advances on individuals’ psychological well-being, especially due to advancements in mobile technology that have increased many workers’ accessibility and expected productivity. In this chapter we focus on the associations between occupational stress and technology, especially behavioral and psychological reactions. We discuss some key facilitators and barriers associated with users’ acceptance of and engagement with information and communication technology. We conclude with recommendations for ongoing research on managing occupational health and well-being in conjunction with technological advancements.

This chapter examines the structure and sentiment of the Twitter response to Nathan Broad's naming as the originator of an image-based sexual abuse incident following the 2017 Australian Football League Grand Final. Employing Social Network Analysis to visualize the hierarchy of Twitter users responding to the incident and Applied Thematic Analysis to trace the diffusion of differing streams of sentiment within this hierarchy, we produced a representation of participatory social media engagement in the context of image-based sexual abuse. Following two streams of findings, a model of social media user engagement was established that hierarchized the interplay between institutional and personal Twitter users. In this model, it was observed that the Broad incident generated sympathetic and compassionate discourses among an articulated network of social media users. This sentiment gradually diffused to institutional Twitter users – or Reference accounts – through the process of intermedia agenda-setting, whereby the narrative of terrestrial media accounts was altered by personal Twitter users over time.

We provide an overview of how artificial intelligence is transforming the identification, structuring, and prioritization of customer needs – known as the voice of the customer (VOC). First, we summarize how the VOC helps firms gain insights on using user-generated data. Second, we discuss the types of user-generated data and the challenges associated with analyzing each type of data. Third, we describe common methods, matched to the firms' goals and the structure of the data, that are used to analyze the VOC. Fourth, and most importantly, we map the methods to relevant applications, providing guidance to select the appropriate method to address the desired research questions.

This chapter outlines several approaches that researchers can use to help them conduct research that respects and includes autistic participants. It begins by highlighting some of the factors that should be considered before, during and after a study is conducted. It then explains some of the benefits and drawbacks of harvesting data from social media. It then concludes with a set of recommendations about inclusive research practices that can help autistic participants be equals in the research process.

The original contribution that this chapter gives to the field of autism spectrum research is to provide researchers with a clear and comprehensive outline of how to conduct research that is inclusive and respectful of autistic participants.

Businesses are increasingly using corporate communication technologies to interact with prospective customers. Therefore, this study explores the corporate executives’ readiness to use interactive media for engagement with online users. The methodology relied on valid and reliable measures to explore the participants’ pace of technological innovation (PTI), perceived usefulness, ease of use and social influences, as these factors can have an effect on their engagement with interactive technologies. The findings supported the scales’ content validity as the structural equation modeling approach has reported a satisfactory fit for this study’s research model. The results indicated that the PTI, perceived usefulness, ease of use of online technologies as well as social influences were significant antecedents for the marketing executives’ engagement with online users through digital media. There were significant influences from the demographic variables, including age, gender and experiences that moderated these relationships. In conclusion, this contribution identifies its limitations and suggests possible research avenues to academia.

This chapter explores the potential of social media in the context of festivals and shows how web platforms can better inform event managers’ understanding of how a festival’s social atmosphere (i.e. the socialscape) can be extended online and beyond the actual periods of the staging of a festival. This is possible as social media can help to build an online environment that favours social identification and user engagement. To illustrate such a mechanism, the chapter presents a multi-method analysis of Fotografia Europea, a photography festival held in Reggio Emilia, Italy. Results show the potential of a coordinated web and social media strategy for enhancing the festival’s atmosphere in terms of social identification and engagement.