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Suggests that the task of ensuring a high level of staff motivation requires from library managers a range of managerial, sociological and psychological skills for which they have had very little training, if any at all. These include effective communication with staff, the encouragement of good workplace relationships, the involvement of staff in the decision making process, helping staff to come to terms with change, promoting job rotation, recognising and rewarding initiative and providing relevant training for staff.

This paper aims to obtain the domain of the textual content generated by users of online social network (OSN) platforms. Understanding a users’ domain (s) of interest is a significant step towards addressing their domain-based trustworthiness through an accurate understanding of their content in their OSNs.

This study uses a Twitter mining approach for domain-based classification of users and their textual content. The proposed approach incorporates machine learning modules. The approach comprises two analysis phases: the time-aware semantic analysis of users’ historical content incorporating five commonly used machine learning classifiers. This framework classifies users into two main categories: politics-related and non-politics-related categories. In the second stage, the likelihood predictions obtained in the first phase will be used to predict the domain of future users’ tweets.

Experiments have been conducted to validate the mechanism proposed in the study framework, further supported by the excellent performance of the harnessed evaluation metrics. The experiments conducted verify the applicability of the framework to an effective domain-based classification for Twitter users and their content, as evident in the outstanding results of several performance evaluation metrics.

This study is limited to an on/off domain classification for content of OSNs. Hence, we have selected a politics domain because of Twitter’s popularity as an opulent source of political deliberations. Such data abundance facilitates data aggregation and improves the results of the data analysis. Furthermore, the currently implemented machine learning approaches assume that uncertainty and incompleteness do not affect the accuracy of the Twitter classification. In fact, data uncertainty and incompleteness may exist. In the future, the authors will formulate the data uncertainty and incompleteness into fuzzy numbers which can be used to address imprecise, uncertain and vague data.

This study proposes a practical framework comprising significant implications for a variety of business-related applications, such as the voice of customer/voice of market, recommendation systems, the discovery of domain-based influencers and opinion mining through tracking and simulation. In particular, the factual grasp of the domains of interest extracted at the user level or post level enhances the customer-to-business engagement. This contributes to an accurate analysis of customer reviews and opinions to improve brand loyalty, customer service, etc.

This paper fills a gap in the existing literature by presenting a consolidated framework for Twitter mining that aims to uncover the deficiency of the current state-of-the-art approaches to topic distillation and domain discovery. The overall approach is promising in the fortification of Twitter mining towards a better understanding of users’ domains of interest.

The author uses a novel narrative style to detail the stories of two women coming to feminism and the impact organizational experiences have had on their gender awareness. Frames these two stories by detailing her own journey in becoming a feminist. Together the stories bear witness to the importance of organizational experiences in shaping their identities, specifically in relationship to their awareness of gender, and conversely how their identities in turn affect the way we approach and make sense of their lives inside and beyond organizations.

In interviews, Jamie Lee Curtis positions Halloween (2018) as a #MeToo film. As merely self-serving publicity, this reading is far too simplistic. In Halloween (1978) Laurie Strode is victimised; she then assumes the role of quintessential Final Girl as described by Carol J. Clover, providing the template for the entire sub-genre of horror slasher films birthed in its wake. However, in the similarly titled 2018 film, Laurie is no longer a victim. Instead of following the role of the stereotypical Final Girl of slasher films, she falls more in line with one of Yvonne Tasker's Warrior Women.

This chapter investigates Laurie Strode's transformation throughout the Halloween franchise. Once passive and victimised, Laurie has evolved: No longer the Final Girl – or victim – her position and behaviour in this film is much more in line with the neoliberal Warrior Woman of action films. Thus, the film assigns her the role of action heroine as a vehicle for responding to the concerns of the #MeToo era – and in this era, women are no longer victims. Women can and will fight back.

The purpose of this paper is to explore how preservice teacher’s beliefs change over time in a literacy methods elementary licensure course that encourages critical literacy and connects learning. The authors were interested in the interplay among identity, agency and structure within this process and how this connected with other literature on teacher beliefs and technology use.

Utilizing data from a larger ethnographic study and mediated discourse analysis (Scollon and Scollon, 2004), this paper follows preservice teacher’s use of digital tools and beliefs about using digital tools in the classroom over a semester-long hybrid course.

Findings show changes in preservice teacher’s beliefs about technology use, interest-driven learning and her own agency. These changes were influenced by the framework of the course and course practices.

This research study offers practical ways to support preservice teachers’ implementation of digital tools with an emphasis on equity. Ultimately, preservice teachers’ experience shapes the opportunities students have with digital tools in schools.

Recognizing the competing discourses and pressures preservice teachers’ experience, the results of this study offer tools to support preservice teachers’ agency through the implementation of connected learning principles and critical literacy theories in preservice education courses, leading to the potential to expand equity in school settings.

While there is research around connected learning in classrooms, there is limited research on a connected learning framework in preservice education programs. Additionally, this paper brings a new perspective on how pairing an emphasis of equity to a connected learning framework supports teachers’ implementation of digital tools.

MY INTEREST in Robert McLellan's work is a fairly recent one, dating as it does from shortly after my arrival in Scotland five years ago. Several pointers made me anxious to know more of his plays and other writings, not least an article by Miss Moira Burgess. I found, however, that an interest was easier to arouse than to satisfy: bibliographies listed practically nothing by him; my own local collection catalogue (McLellan has been an Arran resident since 1938) showed only two articles, one by and one about him, and inquiries of colleagues elicited only surprise that they could find no more than I had done.

Like the Pied Piper, Jamie Oliver ‐ followed by a growing throng of parents and teachers ‐ has forced government action and purse‐strings to raise the financing and therefore the quality of school meals in England. With £280m of new money, it looks as though at last, and at least, children will take in some nutritious food in the course of their young lives. But the reasons for and challenges presented by childhood obesity are multi‐factorial and demand a multi‐disciplinary response. This article considers the various causes of the rise in childhood obesity, and looks at past and planned initiatives aimed at tackling it. It also looks ahead to the potential for future developments that might take the baton carved by Jamie Oliver and pass it on through a range of services.

This paper aims to test the idea generation capabilities of online text-based focus groups as compared to the traditional in-person focus groups using sustainability in the hospitality industry as the idea generation topic. Idea generation quantity and quality are analyzed and the theoretical and practical implications for the hospitality industry are discussed.

An experimental study tested the quality of ideas generated by online versus in-person focus groups. Participants were purposively sampled from the hospitality program at a large southeastern United States university and randomly assigned into one of two treatment groups: online text-based or traditional in-person focus groups. During both treatment groups participants generated ideas focused on sustainability in the hospitality industry.

The online focus group generated a comparable quantity of ideas, in addition to a similar average quality of ideas and number of good ideas.

The generation of ideas and the selection of opportunities drive the innovation process through which firms can strengthen their competitive advantage and maintain and grow market share and profitability. The results of this study may assist hospitality firms in determining which form of qualitative research delivers the highest return on investment by generating the best ideas at the lowest cost.

This paper breaks new ground by assessing the effectiveness of idea generation in online versus traditional focus groups, comparing both the quantity and quality of ideas generated from an experimental study that uses random assignment.