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A quick search of the headlines of major newspapers reveals a treasure trove of technology procurement gone wrong. While the private sector seems to adopt and implement new technology seamlessly and quickly to deliver for customers, the government struggles to accomplish technology purchases and integrations with the same ease. As governments in the United States are looking to retain their current workforce and attract the next generation of workers, the technological capabilities and ethos of governments will be paramount. With nearly every industry being transformed by technology and Generation T being the first generation to have an ingrained “technology first” mindset, the ability of governments to attract these workers depends, in large part, on the ability to transform their government technology culture, policies, and practices.

In this chapter, the authors examine the administrative branch and observe two key components at the root of most technology failures: poor organizational structure in the bureaucracy and the lack of an empowered Chief Information/Technology Officer. Building upon case studies from Massachusetts and California, this chapter looks at the factors related to failure or success to understand the technology procurement culture. The chapter concludes by presenting four key “best practice” principles of public policy and administration that can be implemented by almost any governmental entity to improve their acquisition and implementation of technology.

This study investigated the interactive impact of global and domestic stock market variables on the depth of the financial system in Sub-Saharan African (SSA) countries from 1990 to 2018.

The study used the mean group and pooled mean group estimators for the dynamic heterogeneous panel.

The results provide strong statistical evidence that the depth of the financial system in SSA countries is influenced by a combination of local and international stock market indicators. While the local variables exert a positive influence, the global indicator tends to negatively affect the depth of the system, particularly the monetization ratio.

While the tendency of portfolio adjustments and reversal can be inferred, the study stresses the need for a more globalized approach to financial policy formulation and implementation even as the trend of global financializaton gets more robust and more profound.

This study is unique in that, unlike prior ones, it has extended the debate on the role of the stock market in financial deepening from a domestic to an international dimension. Financial policy making can be aided by the authors' findings through looking at the financial deepening-stock market linkage from both domestic and globalized perspectives.

The purpose of this study is to provide a practical guide and checklist for newcomers to autoethnography.

The approach is grounded in autoethnographic methodology, functioning as a comprehensive teaching resource.

When used as a learning resource, this study will enhance the work of beginning autoethnographers.

As an arts and humanities and social science-based research approach, autoethnography is a vital, creative methodology in advancing social justice in mental health.

This study, written by an experienced teacher, mentor and supervisor of the approach with an international reputation, is original in its provision of a comprehensive teaching resource in article form to assist the development of beginning autoethnographers.

There is clear benefit in designing and sending notifications to users that persuade them to interact with an app and marketer goals. The purpose of this study is to examine how different motivational affordances in notifications affects subsequent app use.

The authors designed three studies to address the purpose: (1) an online experiment to test how individuals perceived notifications, which contained social affordances, progression-based affordances, and a combination of social and progression affordances; (2) a survey to gain a deeper understanding of why certain notification characteristics were effective and to unearth factors that jointly affected notification effectiveness; and (3) an in-app field experiment to test if the findings from studies 1 and 2 held up in a “real world” setting.

The analysis revealed that progression incentives yielded the greatest increases in user behavior. Neither a social incentive, nor a combination of social and progression affordances was more effective than one progression affordance. This effect was heightened by consumers’ involvement with the focal brand.

The contribution extends knowledge about the use of motivational affordances to gamify push notifications in high-involvement contexts. This implies that greater attention should be paid to how the: length of push notifications, affordances communicated and degree of consumers’ relationship with a focal brand (i.e. involvement) impact notification effectiveness. These findings set out new avenues to investigate the uses of gamification and services marketing in future research.

The authors provide marketers with insights into the most effective ways to gamify, structure and time the delivery of notifications. In high-involvement contexts where consumers decide whether to act on a gamified marketing affordance quickly, it pays to use push notifications that feature visible, immediate and tangible rewards. Understanding consumers’ involvement with the brand allows marketers to turn notifications from a potential annoyance into a viable conduit for engagement.

This research extends knowledge on gamification to the domain of push notifications. In doing so, the authors have demonstrated the communicated affordances and wording of the push notifications organizations send affect user behavior. The authors further expand knowledge of the role of consumer involvement on push notification effectiveness while controlling for app usage patterns.

This paper aims to contribute to the ongoing methodological discussions surrounding the adoption of ethnographic approaches in accounting by undertaking a comparative analysis of ethnography in anthropology and ethnography in qualitative accounting research. By doing so, it abductively speculates on the factors influencing the distinct characteristics of ethnography in accounting and explores their implications.

This paper uses a comparative approach, organizing the comparison using Van Maanen’s (2011a, 2011b) framework of field-, head- and text-work phases in ethnography. Furthermore, it draws on the author’s experience as a qualitative researcher who has conducted ethnographic research for more than a decade across the disciplines of anthropology and accounting, as well as for non-academic organizations, to provide illustrative examples for the comparison.

This paper finds that ethnography in accounting, when compared to its counterpart in anthropology, demonstrates a stronger inclination towards scientific aspirations. This is evidenced by its prevalence of realist tales, a high emphasis on “methodological rigour”, a focus on high-level theorization and other similar characteristics. Furthermore, the scientific aspiration and hegemony of the positivist paradigm in accounting research, when leading to a change of the evaluation criteria of non-positivist research, generate an impoverishment of interpretive and ethnographic research in accounting.

This paper provides critical insights from a comparative perspective, highlighting the marginalized position of ethnography in accounting research. By understanding the mechanisms of marginalization, the paper commits to reflexivity and advocates for meaningful changes within the field.

This study aims to profile mobile users based on their need for cognitive closure (NFC) (preference for order, preference for predictability, discomfort with ambiguity, close-mindedness and decisiveness) and identify differences among the groups regarding their perceptions of personalized preferences and privacy concerns.

Based on the data from 285 participants, the authors seek to identify and profile unique consumer segments (mobile users) generated based on their NFC. Second, once the segments are established, the authors analyze how the segments differ across their personalized preferences and privacy concerns.

The data generated three distinct consumer segments: equivocal users, structured users and eclectic users. Across the segments, there were differences in their mobile personalization (experience, value and actions) and preference for information privacy (perceived risks and fabrication of personal information).

United States (US)-based sample may restrict the generalizability of this research. Thus, future research should include participants from other geographic regions to increase external validity.

Retail managers can apply this knowledge to implement appropriate personalization strategies for these distinct target groups.

Segmenting clusters based on differences in consumption trait (NFC) provides key insights to retailers looking to deliver personalized customer experience, particularly in a mobile shopping context.

As higher education institutions (HEIs) have increasingly turned to consider sustainability over the last decade, education for sustainable development (ESD) has emerged as a way of imbuing students with the skills, values, knowledge, and attributes to live, work, and create change in societies facing complex and cross-cutting sustainability challenges. However, the question of how HEIs can actively embed ESD more broadly in and across curricula is one that continues to challenge institutions and the HE sector as a whole. While traditional teaching practices and methods associated with subject-based learning may be suitable for educating students about sustainable development, a re-orientation towards more transformational, experiential and action-oriented methods is required to educate for sustainable development. The need for educators to share their practices and learn lessons from each other is essential in this transformation.

This paper presents a selection of practical examples of how to embed a range of interactive, exploratory, action-oriented, problem-based, experiential and transformative ESD offerings into HE teaching practice and curricula. Presented by a group of academics and professional services staff at the University of Strathclyde who lead key modules and programmes in the institution’s ESD provision, this paper reflects on five approaches taken across the four faculties at Strathclyde (Humanities and Social Sciences, Science, Engineering and the Strathclyde Business School) and examines the challenges, practicalities and opportunities involved in establishing a collaborative programme of ESD.

When a large number of project proposals are evaluated to allocate available funds, grouping them based on their similarities is beneficial. Current approaches to group proposals are primarily based on manual matching of similar topics, discipline areas and keywords declared by project applicants. When the number of proposals increases, this task becomes complex and requires excessive time. This paper aims to demonstrate how to effectively use the rich information in the titles and abstracts of Turkish project proposals to group them automatically.

This study proposes a model that effectively groups Turkish project proposals by combining word embedding, clustering and classification techniques. The proposed model uses FastText, BERT and term frequency/inverse document frequency (TF/IDF) word-embedding techniques to extract terms from the titles and abstracts of project proposals in Turkish. The extracted terms were grouped using both the clustering and classification techniques. Natural groups contained within the corpus were discovered using k-means, k-means++, k-medoids and agglomerative clustering algorithms. Additionally, this study employs classification approaches to predict the target class for each document in the corpus. To classify project proposals, various classifiers, including k-nearest neighbors (KNN), support vector machines (SVM), artificial neural networks (ANN), classification and regression trees (CART) and random forest (RF), are used. Empirical experiments were conducted to validate the effectiveness of the proposed method by using real data from the Istanbul Development Agency.

The results show that the generated word embeddings can effectively represent proposal texts as vectors, and can be used as inputs for clustering or classification algorithms. Using clustering algorithms, the document corpus is divided into five groups. In addition, the results demonstrate that the proposals can easily be categorized into predefined categories using classification algorithms. SVM-Linear achieved the highest prediction accuracy (89.2%) with the FastText word embedding method. A comparison of manual grouping with automatic classification and clustering results revealed that both classification and clustering techniques have a high success rate.

The proposed model automatically benefits from the rich information in project proposals and significantly reduces numerous time-consuming tasks that managers must perform manually. Thus, it eliminates the drawbacks of the current manual methods and yields significantly more accurate results. In the future, additional experiments should be conducted to validate the proposed method using data from other funding organizations.

This study presents the application of word embedding methods to effectively use the rich information in the titles and abstracts of Turkish project proposals. Existing research studies focus on the automatic grouping of proposals; traditional frequency-based word embedding methods are used for feature extraction methods to represent project proposals. Unlike previous research, this study employs two outperforming neural network-based textual feature extraction techniques to obtain terms representing the proposals: BERT as a contextual word embedding method and FastText as a static word embedding method. Moreover, to the best of our knowledge, there has been no research conducted on the grouping of project proposals in Turkish.