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The purpose of this paper it to highlight the challenges of managing and handling data for services marketers that have been brought about by the contemporary environment and emerging schools of thought.

A comparison is made between conventional data collection and statistical analysis, and the need to glean information from large, pre-existing data sets for future contributions to service research.

For service marketers to tackle real world, large problem areas, there will be a need to develop methods of dealing with data which pre-exist in many forms, as well as data that are collected via well-established procedures.

The study should be an encouragement for services marketing researchers to develop innovative methods of data handling which recognize a world of burgeoning data sources and types.

There are few reliable psychometric measures of the psychopathology of offenders with intellectual disabilities (ID). However, previous research has indicated that the emotional problems scale (EPS) is useful in identifying a range of treatment needs and in predicting risk to self and others. The purpose of this paper is to compare the severity of the emotional and behavioural problems of a small sample of offenders with ID in medium and low secure services, as assessed by EPS. Additionally, the data are tentatively compared with those reported in previous research to precipitate discussion regarding the changes in clinical populations in secure care over time.

The study collected demographic and EPS data for patients with ID (n=25) on medium secure and a low secure wards. Data were collected as part of routine clinical practice, with EPS forms being completed by nursing and other multi-disciplinary staff.

It was found that there was no statistically significant difference in EPS scores between medium and low secure patients with ID. The authors also highlight differences between the current sample and the normative data collected by previous research.

The data regarding the psychopathology of medium and low secure patients with ID provide insight into the ever changing resourcing needs and risk profiles of this complex patient group. In addition, there is a dearth of empirical research that comments on the clinical differences observed over time in forensic populations. As the current data differ from pre-existing normative data, the potential shift in populations and also implications for the accuracy of clinical decision making based on the assessment are discussed.

Colleges and universities conduct regular surveys that provide space for local questions, including library‐related items. Unfortunately these surveys often use incomparable metrics and scales. This study seeks to examine techniques to take advantage of such surveys to supply practical results.

Effect size meta‐analysis is a statistical method used to combine such disparate results. This method and other statistical tools were used to extract significant findings from the survey results, looking at such library constructs as physical access, analysis (the ability to determine information quality and relevance), collection quality and quantity, retrieval, hours and staff.

The paper describes the meta‐analysis of three separate surveys which contained library‐related data responses, and conclusions subsequently drawn from that analysis.

This paper assumes that the reader possesses some understanding of basic statistical concepts, such as means, variance, standardized scores, and null hypothesis significance testing (NHST). It assumes a “good‐enough” approach to library assessment, one that strives for the greatest possible statistical accuracy, reliability, and validity given the time and resource limitations within which most academic libraries operate.

The method provides a practical, sustainable, and effective library assessment technique using data from Radford University. The use of freeware to undertake the analysis also makes it financially viable.

The purpose of this paper is twofold: first, to argue that substance use is a real risk for people who experience disaster, and especially so for socially vulnerable populations; second, to incorporate questions that help measure substance use during the disaster life cycle in pre-existing data sets.

The authors provide a critical review and discussion of what is missing from current drug use data sets, and how they could incorporate collection techniques for disaster stricken populations. The manuscript is not based on research but helps develop and test hypotheses. The authors are more discursive, and review philosophical discussions and comparative studies of other pre-existing data sets that collect substance use information.

Although it would take some effort to change these pre-existing national surveys, it could be done, which would allow researchers to collect much more extensive and informative data with regard to substance use during the disaster life cycle.

This manuscript is a commentary/discussion piece that proposes ideas for improved data collection. Ideally, the authors would be able to test these updated surveys.

Improved data collection methods, and improved emergency response and recovery.

Having the ability to collect these data will ultimately make communities more resilient.

The authors argue that the overlap of crime and disaster, in which substance use during the disaster life cycle falls, is an extremely understudied area. As the field of disaster studies continues to grow, the methodological and theoretical challenges of studying crime and disaster have prevented this sub-field from advancing. The authors wish to advance the discipline by pushing toward improved data collection during substance use during the disaster life cycle.

The nature of technologies that are recognised as Artificial Intelligence (AI) has continually changed over time to be something more advanced than other technologies. Despite the fluidity of understanding of AI, the most common theme that has stuck with AI is ‘human-like decision making’. Advancements in processing power, coupled with big data technologies, gave rise to highly accurate prediction algorithms. Analytical techniques which use multi-layered neural networks such as machine learning and deep learning have emerged as the drivers of these AI-based applications. Due to easy access and growing information workforce, these algorithms are extensively used in a plethora of industries ranging from healthcare, transportation, finance, legal systems, to even military. AI-tools have the potential to transform industries and societies through automation. Conversely, the undesirable or negative consequences of AI-tools have harmed their respective organisations in social, financial and legal spheres. As the use of these algorithms propagates in the industry, the AI-based decisions have the potential to affect large portions of the population, sometimes involving vulnerable groups in society. This chapter presents an overview of AI’s use in organisations by discussing the following: first, it discusses the core components of AI. Second, the chapter discusses common goals organisations can achieve with AI. Third, it examines different types of AI. Fourth, it discusses unintended consequences that may take place in organisations due to the use of AI. Fifth, it discusses vulnerabilities that may arise from AI systems. Lastly, this chapter offers some recommendations for industries to consider regarding the development and implementation of AI systems.

The purpose of this study was to explore the viability of transinformation analysis as a multimodal readability metric. A novel approach was called for, considering that existing and established readability metrics are strictly used to measure linguistic complexity. Yet, the corpus of multimodal literature continues to grow, along with the need to understand how non-linguistic modalities contribute to the complexity of the reading experience.

In this exploratory study, think aloud screen recordings of eighth-grade readers of the born-digital novel Inanimate Alice were analyzed for complexity, along with transcripts of post-oral retellings. Pixel-level entropy analysis served as both an objective measure of the document and a subjective measure of the amount of reader information attention. Post-oral retelling entropy was calculated at the unit level of the word, serving as an indication of complexity in recall.

Findings confirmed that transinformation analysis is a viable multimodal readability metric. Inanimate Alice is an objectively complex document, creating a subjectively complex reading experience for the participants. Readers largely attended to the linguistic mode of the story, effectively reducing the amount of information they processed. This was also evident in the brevity and below average complexity of their post-oral retellings, which relied on recall of the linguistic mode. There were no significant group differences among the readers.

This is the first study that uses entropy to analyze multimodal readability.

Many transition economies are former socialist planned economies and have undergone market reforms of their financial sector to signal their transition towards democracy. However, governments in these countries have been reluctant to relinquish the pre-existing controls on economy and have adopted nuanced and sophisticated approaches to retain control. In such context, scholars may find it challenging to investigate the role played by the state in the success or failure of attempted market reforms. This work investigates the different forms of state-induced accounting controls that may preserve the status quo within the economy during transition, using Myanmar as an example.

The authors adopted a longitudinal qualitative research method aiming to reveal the very processes and mechanisms used by the banks and their evolution over time. This method is in accordance with the historical institutionalist perspective that they have applied within this research.

The authors found that the Myanmar government embarked on the privatisation of their financial sector from 1990 to 2016 as a major public sector reform initiative. Under the guise of market reforms, it used both state-led and market-led controls to emulate and retain the socialist banking model where banks are used to fund the immediate government's budget deficits. This created a series of intended and unintended consequences, resulting in the ultimate failure of the government's market reforms.

Previously, research on public sector management accounting in emerging economies was not relying consistently on using theory. The relative limited theorisation led to gaps when attempting to understand and explain the opaque forms of state control mechanisms in transition economies. By applying historical institutionalist perspective, and a more theory-driven, reflective approach to the interpretation of the data collected, the authors have provided a deeper insight and understanding on how different forms of state controls can emerge, adapt and persist in transition economies such as Myanmar.

The authors demonstrated that though the state may have implemented market reforms to signal regimes change, this does not necessarily mean that the government has relinquished their control on the economy. The state could take a more sophisticated, covert approach towards state controls leading to both intended and unintended consequences. Thus, even if the state's preferences change, the decisions cannot be easily reversed, as path-dependent state controls may have become pervasive affecting any further institutional and policy developments. Thus, the authors suggest that governments in both transition and developed economies should be cautious when enacting regulations on corporate control.

In this paper, the authors have applied a historical institutional perspective in their analysis instead of the more widely used sociological, institutionalist approach. This allowed authors to harness rich longitudinal data indicating that market reforms and their success or failure should be examined as an ongoing process rather than a completed action. This is especially important in transition economies where the state may be unwilling to renounce the existing controls on the industry and may resort to more opaque forms of state control, eventually obstructing the intended reforms.

This paper aims to explore the possibilities in using such national, statutory data sets for evaluating change and the challenges of understanding service patterns and outcomes in complex cases when only a limited view can be gained using existing data. The discussion also explores how methodologies can adapt to an evaluation in these circumstances.

This paper examines the use of data routinely collected by local authorities (LAs) as part of the evaluation of innovation. Issues entailed are discussed and illustrated through two case studies of evaluations conducted by the research team within the context of children’s social care in England.

The quantitative analysis of LA data can play an important role in evaluating innovation but researchers will need to address challenges related to: selection of a suitable methodology; identifying appropriate comparator data; accessing data and assessing its quality; and sustaining and increasing the value of analytic work beyond the end of the research. Examples are provided of how the two case studies experienced and addressed these challenges.

• Quasi-experimental methods can be beneficial tools for understanding the impact of innovation in children’s services, but researchers should also consider the complexity of children’s social care and the use of mixed and appropriate methods. • Those funding innovative practice should consider the additional burden on those working with data and the related data infrastructure if wishing to document and analyse innovation in a robust way. • Data, which may be assumed to be uniform may in fact not be when considered at a multi-area or national level, and further study of the data recording practice of social care professionals is required.

The paper discusses some common issues experienced in quasi-experimental approaches to the quantitative evaluation of children’s services, which have, until recently, been rarely used in the sector. There are important considerations, which are of relevance to researchers, service leads in children’s social care, data and performance leads and funders of innovation.

This study aimed to understand how parents and librarians describe their lived experiences in a modern children’s library that aims to create a triad bond through the organization of multiliteracy events and activities.

The study used a phenomenological case study approach using two semistructured interviews, the first with parents (n = 5) and the second with library staff (n = 5), to record their lived experiences in creating and attending literacy events and activities.

The findings indicated multiplicities of transformative and heterotypic spaces that juxtapose different yet compatible and vicarious experiences for librarians, parents and their children. The virtual and interactive features of the library fuel children’s curiosity and creativity and afford them authentic materials through a creative blend of local heritage and technology-mediated multimodal literacies. Moreover, the librarians engage in constant program evaluation and upgrades. The library environment creates a vibrant bio-network for disseminating literacy through creativity and ingenuity and affords an affinity space for community socialization.

This study has some limitations and delimitations. The data for this study were collected during the pandemic, which affected the sample size. Moreover, the children’s views were not considered, which could broaden our understanding of the phenomena. Furthermore, the study relied on interviews as the sole source of data; other sources, such as archival data and documents, could enrich the data and increase the study’s rigor. Finally, the study is confined to only one site.

The study found that a “living library” philosophy with an enthusiastic and attentive staff that caters to patrons’ interests draws parents and children to visit. Additionally, unexpected fun activities that occur when sufficient children are present keep them engaged and motivated to stay and learn more. The study suggests that librarians, architects, school leaders, policymakers and educators should consider how to conceptualize, design and experience a modern library space that prioritizes literacy activities and incorporates technology to inspire children’s innovations. The findings can be applied to both public and academic libraries.

The findings from this study could provide researchers, teachers, administrators, librarians and artificial intelligence with a viable orientation to envision new ways of reconceptualizing public and school libraries to create affinity spaces for the literate community, especially in a non-western context such as the United Arab Emirates.

The purpose of this study is to investigate the adoption of waqf technology (Waqftech) using blockchain smart contracts for corporate waqf crowdfunding. Despite the growing interest in Waqftech, Malaysian enterprises have not fully embraced this emerging technology because of uncertainty regarding the benefits it offers to contributors. The research incorporates two theoretical frameworks: the electronic data interchange (EDI) model for firms’ technology adoption, and the triple bottom line theory (TBL) for corporate social responsibility.

A quantitative method using a cross-sectional survey design with a five-point Likert scale questionnaire was used. Data was collected from 210 decision-makers representing small and medium-sized enterprises and analyzed using partial least squares-structural equation modeling.

The findings from this research suggest that Malaysian enterprises are influenced by both corporate and social predictive benefits when using blockchain crowdfunding, but not by environmental benefits. The adoption of blockchain smart contracts does not correlate with predictive environmental benefits because of misconceptions about the disruptive technology’s impact on biological and digital environmental preservation.

This research focuses on organizational behavior rather than individual users of waqf crowdfunding, and it is limited, primarily focusing within Malaysia and regions with similar waqf structures.

The Waqftech framework allows innovative mechanisms for executing corporate waqf investment returns to the intended beneficiaries through the smart contracts’ platform. In addition, this study supports relevant corporate social responsibility and creating shared value technology adoption theories, including EDI and TBL. Aside from this, the study provides empirical implications for waqf management using fintech platforms.

This groundbreaking study focuses on creating a Waqftech model for corporate waqf crowdfunding. The results of this study are important for the development of government policies that support the use of Waqftech in charitable fundraising. More research on biological and digital environmental perspectives is proposed to foster investors’ confidence in the visibility of digital tracking and lead to swift investments in future metaverse fundraising platforms.