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The recent development in integrated reporting (<IR>) demonstrated a potential government tool for decision-making in allocating resources and developing sustainable policies for higher education institutions. This paper aims to examine the extent of the disclosure level of <IR> content elements in the annual reports of Malaysian Public Universities (MPUs). Additionally, the relationship between the disclosure level of <IR> content elements and the specific characteristics of MPUs is investigated.

The study performed descriptive statistics analysis for each component of <IR> content elements. This idea is achieved by examining the annual reports of MPUs between 2016 and 2018. The relationship was also investigated using ordinary least squares, fixed effect and lagged models.

The findings showed an increasing trend in the disclosure level of <IR> content elements in MPUs’ annual reports, supported by institutional theory. Furthermore, RUs exhibited a significant positive relationship with the disclosure level of <IR> content elements, whereas university size and report conciseness are insignificant variables.

The study adds to the body of knowledge in public sector accounting and has significant implications in the industry. This implication is specific to achieving sustainable development goals within the context of a developing country, paving avenues for further MPU reporting studies.

In the era of big data, various industries are generating large amounts of text data every day. Simplifying and summarizing these data can effectively serve users and improve efficiency. Recently, zero-shot prompting in large language models (LLMs) has demonstrated remarkable performance on various language tasks. However, generating a very “concise” multi-document summary is a difficult task for it. When conciseness is specified in the zero-shot prompting, the generated multi-document summary still contains some unimportant information, even with the few-shot prompting. This paper aims to propose a LLMs prompting for multi-document summarization task.

To overcome this challenge, the authors propose chain-of-event (CoE) prompting for multi-document summarization (MDS) task. In this prompting, the authors take events as the center and propose a four-step summary reasoning process: specific event extraction; event abstraction and generalization; common event statistics; and summary generation. To further improve the performance of LLMs, the authors extend CoE prompting with the example of summary reasoning.

Summaries generated by CoE prompting are more abstractive, concise and accurate. The authors evaluate the authors’ proposed prompting on two data sets. The experimental results over ChatGLM2-6b show that the authors’ proposed CoE prompting consistently outperforms other typical promptings across all data sets.

This paper proposes CoE prompting to solve MDS tasks by the LLMs. CoE prompting can not only identify the key events but also ensure the conciseness of the summary. By this method, users can access the most relevant and important information quickly, improving their decision-making processes.

This paper aims to assess the level of compliance of the Integrated Management Reports of four Brazilian public universities with the International Integrated Reporting Framework.

The authors carried out documentary research on the management reports of four Brazilian public universities for the period 2018–2020. For the analysis, the authors developed a Disclosure Index (DI) that analyzes the content of the reports and allows them to verify the quality of these institutional documents.

The results show that two universities present low quality of their reports with a disclosure rate lower than 50%, while the other two demonstrate evolution in the quality of reporting over the years. In addition, the findings point to the need for greater conciseness in the preparation of reports and accessibility of disclosures, as well as inclusion of the impacts of organizations’ activities on society and the environment.

This research brings relevant contributions by identifying points of improvement in the dissemination of information by management reports from an Integrated Reporting approach and by identifying the need to adopt strategies that expand the understanding and knowledge of the preparers about this new approach.

The authors adapted a DI to measure the adhesion of the management reports of Brazilian universities to the Integrated Reporting approach. The results will be of interest to public organizations that seek to improve information disclosure based on an Integrated Reporting approach.

The purpose of this paper is to provide a discussion of the application of the Faff (2015) pitch template to a financial accounting research topic.

The author recounts her personal experience with completing the template for a pitch that examines reporting conciseness in the context of integrated reporting.

The template was found useful in refining a research idea in a structured manner.

The letter also demonstrates how the template was used as a research collaboration tool when engaging with collaborators on research projects.

This study aims to investigate antecedents and outcomes of customers’ narrative engagement on hotels’ social networking sites (SNSs). Four different types of brand story were explored as antecedents for brand story.

A cross-sectional, self-administered, online survey was conducted with customers who have stayed at a hotel and have used hotel SNSs within the past 12 months.

Results identified authenticity and humor brand story influenced customers’ narrative engagement, which further influenced their brand attitudes and behavioral intentions. However, reversal and conciseness types of a hotel’s brand story did not lead to customers’ narrative engagement.

The role of SNSs in the hotel industry is evolving; however, the use of a hotel’s brand story has not been closely examined to date. This study investigated the importance of a hotel’s brand story that influenced customers’ narrative engagement on SNSs.

The prevalence of SNSs has changed hotel management practices. Hotels are suggested to pay attention to create persuasive brand stories that encourage customers’ visits to the hotel.

This study is an original attempt to propose a conceptual framework, explaining the relationships among different types of hotel brand stories, customers’ narrative engagements, their attitudes and their behavioral intentions in the SNSs context.

This paper aims to improve the understanding of integrated thinking, as it is a central concept in the integrated reporting (IR) framework that has implications for sustainability reporting, as the holistic view of integrated thinking clarifies the value creation process of organisations and facilitates the incorporation of sustainability issues into the corporate mindset. The study investigates whether there are contextual factors that may be influencing the way integrated thinking is reflected in the reports. The paper focusses on public companies because integrated thinking in this sector plays an important role in terms of sustainability reporting, as these organisations must address more complex and diverse relationships with their stakeholders.

The methodology is based on a content analysis of the IR reports issued by 21 public sector companies. For this analysis, this study proposed specific dimensions and variables that demonstrate this way of thinking. These allow us to develop an integrated thinking index (ITI) based on a frequency análisis. The influence of the country’s legal system, the sector of activity and the number of years of experience in IR is studied, by conducting t-test and ANOVA analyses and a correlation study.

The results demonstrate the existence of limited integrated thinking characterised by poor connectivity of information, lack of a clear link between materiality analysis and strategy and insufficient forward-looking perspective. The findings reveal that contextual and institutional factors have little influence on the levels of integrated thinking achieved.

The concept of integrated thinking has not been sufficiently explored to date, despite its importance in the IR conceptual framework. The study proposes specific dimensions and variables to be considered in preparing reports that exhibit this holistic way of thinking. The recommendations can help information preparers and improve the accountability and transparency of public sector companies.

This study provides an analysis of the possibility of companies in Indonesia to adopt integrated reporting (IR). This is undertaken by comparing the degree of conformity between current reporting disclosures with that of the IR framework.

A mixed-method approach is employed, which entailed using both quantitative and qualitative techniques to access data. For the quantitative analysis, a total of 64 companies are chosen, which represent companies with significant market capitalization included in the LQ45 index (an index for the 45 most liquid stocks) in 2016 and the non-LQ45 by publishing a sustainability report. These companies are selected on the basis of high levels of disclosure compared with other companies and serve as an appropriate benchmark for other listed companies. The level of disclosure conformity is employed using 39 principle disclosure indices and 76 content disclosure indices based on the IR framework. For the qualitative analysis, interviews were conducted with nine interviewees that are considered as experts in the field of IR. The interviews are conducted to assist in providing explanations for the findings.

The results indicate that approximately 60% of companies (mostly in the banking, finance and mining industries) have an adequate degree of conformity, reflecting their higher probability of voluntary compliance to apply the IR framework. However, the principles of conciseness and connectivity of information provide significant challenges for Indonesian firms when they will consider implementation. Further analysis using in-depth interviews with experts showed that several factors from various perspectives should be considered in shifting to IR.

This study provides empirical evidence on the current reporting landscape of Indonesian firms. Scant research is available on the possible adoption of IR in emerging markets such as Indonesia. Hence, this project raises further possible explanations for the challenges and pressures faced by Indonesian firms in an era of changing stakeholder expectations.

The purpose of this paper is to explain the effects of the customer‐supplier relationship and of automatic forecast data communication and registration on the perceived information quality of forecasts.

A conceptual model and three hypotheses are derived. The empirical analysis is based on survey data from 219 Swedish manufacturing companies.

Findings show that the customer‐supplier relationship and automatic data communication and registration have significant impact on the perceived quality of forecast information received from a downstream customer in the supply chain. The reliability and timeliness of the forecast information are affected to about the same extent by both the relationship type and the data communication and registration strategy. Credibility is correlated with the relationship type, while the completeness, validity and conciseness of the received forecast are operative issues depending mainly on the communication strategy.

Using single informants, focal customers and some single‐item constructs in research design.

The paper explains how various dimensions of forecast information quality are affected by different factors, thus guiding how to differentiate information quality improvement work in diverse situations.

Detailed empirical studies of supply chain information exchange, especially focusing on explaining causes of high‐quality information exchange, are lacking in the literature and demanded in industry.

The purpose of this research is to provide a framework in which new data quality dimensions are defined. The new dimensions provide new metrics for the assessment of lecture video indexing. As lecture video indexing involves various steps, the proposed framework containing new dimensions, introduces new integrated approach for evaluating an indexing method or algorithm from the beginning to the end.

The emphasis in this study is on the fifth step of design science research methodology (DSRM), known as evaluation. That is, the methods that are developed in the field of lecture video indexing as an artifact, should be evaluated from different aspects. In this research, nine dimensions of data quality including accuracy, value-added, relevancy, completeness, appropriate amount of data, concise, consistency, interpretability and accessibility have been redefined based on previous studies and nominal group technique (NGT).

The proposed dimensions are implemented as new metrics to evaluate a newly developed lecture video indexing algorithm, LVTIA and numerical values have been obtained based on the proposed definitions for each dimension. In addition, the new dimensions are compared with each other in terms of various aspects. The comparison shows that each dimension that is used for assessing lecture video indexing, is able to reflect a different weakness or strength of an indexing method or algorithm.

Despite development of different methods for indexing lecture videos, the issue of data quality and its various dimensions have not been studied. Since data with low quality can affect the process of scientific lecture video indexing, the issue of data quality in this process requires special attention.

The purpose of this review paper was identifying barriers to the use of telemedicine systems in primary health-care individual level among professionals.

This study used Scopus and PubMed databases for scientific records identification. A systematic review of the literature structured by PRISMA guidelines was conducted on 37 included papers published between 2009 and 2019. A qualitative approach was used to synthesize insights into using telemedicine by primary care professionals.

Three barriers were identified and classified: system quality, data quality and service quality barriers. System complexity in terms of usability, system unreliability, security and privacy concerns, lack of integration and inflexibility of systems-in-use are related to system quality. Data quality barriers are data inaccuracy, data timeliness issues, data conciseness concerns and lack of data uniqueness. Finally, service reliability concerns, lack of technical support and lack of user training have been categorized as service quality barriers.

This review identified and mapped emerging themes of barriers to the use of telemedicine systems. This paper also through a new conceptualization of telemedicine use from perspectives of the primary care professionals contributes to informatics literature and system usage practices.