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This paper aims to review the elements of facilities condition index (FCI) as one of the most widely used metrics for describing the physical condition of facilities and as a measure of financial indicator related to maintenance activity. This research will benefit future studies that focus on implementation of FCI and encourage the best practice when assessing the physical condition to evaluate the performance of facilities as well as to plan for maintenance action to be taken and financial implication involved based on the findings from FCI.

A total of 33 studies from 2012 to 2022 were identified and extracted from four academic databased, named Scopus, Google Scholar, Web of Science and Mendeley. These published studies were selected because it matches with the inclusion requirements for research question, “What are the elements of facilities condition index discussed in the literature from 2012 to 2022?”. To answer the research question, the studies in ATLAS.ti were grouped into five major themes based on the codes and categories found.

This paper presents the findings of a thematic analysis of the current literature discussed about FCI. A total of 33 studies from 2012 to 2022 were identified and extracted from four academic databased, named Scopus, Google Scholar, Web of Science and Mendeley. A themed review was conducted, and five themes were identified as elements of FCI, which are named as follows: “Condition Assessment”, “Deferred Maintenance”, “Facilities Performance”, “Financial and Fund Allocation” and “Decision Making”.

This paper fulfils the fundamental elements on current FCI practices as well as intended to highlight existing practices that are essential to evaluate facilities performance and planning for maintenance strategies.

The authors investigate the relationship between instant messenger (IM) use and work performance, mediated by interruptions and two key indicators of the stress associated with technology use: overload and complexity.

The authors validate this research model using partial least squares structural equation modelling (PLS-SEM) with data collected through a survey of 416 working professionals.

The data reveal that while IM use contributes minimally to work interruptions and to a greater extent to technological complexity, these two constructs fully mediate the direct influence of IM use at work on technology overload, and meanwhile significantly and directly contribute to work performance.

This research provides theoretical insights into the deployment of IM and its actual impacts in the workplace. To improve the generalisation of the findings, the authors call for more IM-related research in other countries, with more native theories and various methodologies in this domain.

The level of stress generated through IM use is moderate, considering IM is not a significant contributor to work interruptions. Thus, despite the potential negative effects of IM communication, the positive effects of using IM at work prevail. As a result, the technology can be promoted as long as employees, their managers and the organisation as a whole are well prepared. Employees can transfer skills and behaviour from the personal setting to their work environment and thus may find an intrinsic motivation to make better use of the IM technology at work.

The authors argue that this research model is novel for its perspective on evaluating the actual impacts of IM use at work instead of the reasons of using it. The authors conceptualise the process to explain how IM contributes to interruptions and other technostress indicators in the working context, and the impact on performance. Contrary to some prior research, the authors find that overall IM applications do not have a negative impact on work performance, and instead may enhance it.

The purpose of this study is to present ANTi-microhistory of social innovation in education within Robert Owen’s communal experiment at New Harmony, Indiana. The authors zoom out in the historical context of social innovation before zooming into the New Harmony case.

The authors used ANTi-microhistory approach to unpack the controversy around social innovation using the five-step procedure recently proposed by Mills et al. (2022), a version of the five-step procedure originally proposed by Tureta et al. (2021).

The authors found that the educational leaders of the New Harmony community preceded proponents of innovation, such as Drucker (1957) and Fairweather (1967), who viewed education as a form of social innovation.

The authors contribute to the history of social innovation in education by exploring the New Harmony community’s education society to uncover the enactment of sustainable social innovation and the origin story of humanistic management education.

Racial wealth inequality is a significant and growing issue in the USA. Improving the lagging rate of black new venture creation and successful entrepreneurship could help close the gap. The purpose of this paper is to focus needed attention on the financial challenges resulting from institutional and systemic discrimination that black entrepreneurs must deal with. Following this literature review, the paper makes recommendations and broad public policy suggestions.

This study conducts a literature review and discusses the myriad of reasons black entrepreneurs struggle with inadequate access to capital, with special emphasis on weaker entrepreneurial ecosystems that have resulted from systemic racism.

The paper sheds light on several factors which continue to directly impede successful black entrepreneurship including discrimination in lending, distrust in institutions, over-reliance on (inadequate) personal capital and declining black-owned banking and financial institutions, as well as community banking options in black communities.

The paper is conceptual and relies on prior literature. The proposed solutions are just a starting point and are certainly not meant to be all-inclusive or comprehensive. Much future research, particularly longitudinal research, is needed to further develop theory and specific public policies which can close the disparities this study has discussed. This study outlines several key areas in need of further quantitative and qualitative studies to better understand black entrepreneurship.

The US economy will increasingly suffer if the nearly 15% of population (and growing) made up of black communities continues to struggle. The broad-based policy solutions proposed in this paper would allow for increased access to capital that would address the long-term deficiencies and help to close the racial wealth gap.

Through this study’s broad-based potential solutions, entrepreneurial ecosystems can be strengthened to build the environment for successful new venture creation in black communities. The longer-term benefit would be increased tax revenues, improved communities with fewer individuals needing support through government assistance and greater social stability as economic gaps between various racial groups are closed.

Using a broader entrepreneurial ecosystem framework and a systemic racism theory lens, this study discusses the limited capital black entrepreneurs have access to. Following this literature review, this study offers broad-based policy solutions that can strengthen ecosystems and directly address the issues raised in the paper.

The purpose of this paper is to show that third-party quality audits (TPQAs) facilitate performance improvement and give confidence to organisations concerning the process quality of services and products. However, because of inconsistencies and unethical practices often observed in the industry, organisations question the significance of TPQA. A perception exists that its initial purpose as an impartial tool ensuring quality of deliverables is no longer upheld. Hence, the need to determine and explain the influence of the ISO 19011 standard interpretation on the application of the audit guidelines in performing TPQA, to promote consistency in the audit process.

The study employed document analysis of the ISO 19011 standard, followed by semi-structured interviews with certification managers (CBs) to gain insight related to their interpretation and application of the ISO 19011 guidelines.

The CBs interpret the ISO 19011 guidelines differently; hence, their application of the standard to compile their audit documents differ. Adherence to the principles of auditing particularly, integrity and independence were found as the core of the audit process while their disregard reflects failure of the real intent of auditing. The inconsistencies in the audit procedures and documents developed for auditors are ascribed to some CBs’ personal interpretations.

The study explores how the different interpretations of the ISO 19011 standard prevail and are perceived by the CBs and auditors. The findings aim to support standardisation and reduce the variations across and amongst the different CBs and auditors.

The purpose of this paper is to investigate the relationship between corporate social responsibility (CSR) report readability and earnings management (EM). Additionally, the authors examine the association between CSR spending and CSR report readability to understand the clarity in disclosure when the firms’ investment in CSR is higher.

The sample for this study consists of 156 publicly traded firms in India spanning 2016–2021. The authors use the Fog Index to measure the readability of CSR reports and absolute discretionary accruals and absolute accrual EM as the proxy for EM. The empirical models are tested using a two-stage system GMM dynamic panel data model.

The authors find a negative association between the Fog Index and EM, indicating that the readability of CSR reports decreases when EM increases in a firm. Managers use complex words to mislead the stakeholders when there are more EM practices. The authors’ additional analysis shows a positive association between CSR spending and CSR report readability, indicating that the firm spends more reports on the initiatives more precisely, avoiding words with more syllables.

This study offers novel evidence by examining the readability of CSR reports published by Indian firms. Given the mandatory requirement of CSR in India, the readability of disclosures is associated with EM. The authors’ unique focus on CSR report readability provides a new direction for future researchers as they can explore the influence of regulatory mandates on CSR reporting practices.

This paper aims to use the origin story of Dalhousie’s Faculty of Management as a foil for unpacking the tensions between deep disciplinary specialization and liberal education in business schools in Canada and the USA. Ultimately, the paper reveals that those tensions are not irreconcilable, and that through the fortunes of historical contingencies and deliberate decision-taking, a faculty can embrace the benefits of both breadth and depth.

The paper proposes a critical organizational history of management education through a case study. By drawing on secondary literature and archival sources, the authors focus on moments in business education, such as the founding of the Wharton School of Business, the release of the Carnegie and Ford Reports and the trend towards increased specialization to situate a case study of Dalhousie University’s Faculty of Management.

The authors find that the evolution of business education in North America from its broad, liberal origins towards narrow, specialization has come at a cost to some of the benefits of business and management education. An alternative approach, one reflected in the design of Dalhousie’s Faculty of Management, its programme offerings and its interconnection with other disciplines, enables the advantages of deep disciplinarity to co-exist (and cross-inform) with the advantages of liberal approach to knowledges.

The Dalhousie model offers business schools an example of a faculty that balances the rich insights of liberal interdisciplinarity with the need for sophisticated approaches to more granular, often disciplinary, topics. In addition, the paper offers the story of a multidisciplinary management faculty, some explanation for how that faculty was maintained despite pressures towards specialization; and in doing so, contributes to the limited historical research of management education, particularly in Canada, post-2000.

As more firms adopted AI-related services in recent years, AI service failures have increased. However, the potential costs of AI implementation are not well understood, especially the effect of AI service failure events. This study examines the influences of AI service failure events, including their industry, size, timing, and type, on firm value.

This study will conduct an event study of 120 AI service failure events in listed companies to evaluate the costs of such events.

First, AI service failure events have a negative impact on the firm value. Second, small firms experience more share price declines due to AI service failure events than large firms. Third, AI service failure events in more recent years have a more intensively negative impact than those in more distant years. Finally, we identify different types of AI service failure and find that there are order effects on firm value across the service failure event types: accuracy > safety > privacy > fairness.

First, this study is the initial effort to empirically examine market reactions to AI service failure events using the event study method. Second, this study comprehensively considers the effect of contextual influencing factors, including industry type, firm size and event year. Third, this study improves the understanding of AI service failure by proposing a novel classification and disclosing the detailed impacts of different event types, which provides valuable guidance for managers and developers.

Metaverse technology has attracted much attention in many contexts, including industry, education, marketing and business. Some recent studies have focused on qualitative studies based on the actual definition of the metaverse. However, practical research related to metaverse platforms remains in its infancy. This study provides actionable insights into the determinants of metaverse adoption by using perceived fluidity.

A two-stage structural equation modeling (SEM) approach and Hayes’ Macro approach are used to examine the proposed hypotheses.

Results show that technology features (e.g. real-time rendering, interactivity and immersion) increase users’ perceived fluidity, which in turn leads to positive intentions to use the metaverse. A high level of perceived realism is not an advantage for metaverse technology and plays a negative moderating role in this mechanism. The interaction of awe with technological features can enhance the negative moderating effects of realism.

This study pioneers the examination of perceived fluidity as a key determinant of metaverse adoption, offering a novel perspective beyond traditional factors. It uniquely identifies the paradoxical role of perceived realism, demonstrating its potential negative impact on user experience. In addition, the research highlights the reinforcing effect of awe on this relationship.

This study responded to calls to investigate the behavioural and social antecedents that produce a highly positive response to AI bias in a constrained region, which is characterised by a high share of people with minimal buying power, growing but untapped market opportunities and a high number of related businesses operating in an unregulated market.

Drawing on empirical data from 225 human resource managers from Ghana, data were sourced from senior human resource managers across industries such as banking, insurance, media, telecommunication, oil and gas and manufacturing. Data were analysed using a fussy set qualitative comparative analysis (fsQCA).

The results indicated that managers who regarded their response to AI bias as a personal moral duty felt a strong sense of guilt towards the unintended consequences of AI logic and reasoning. Therefore, managers who perceived the processes that guide AI algorithms' reasoning as discriminating showed a high propensity to address this prejudicial outcome.

As awareness of consequences has to go hand in hand with an ascription of responsibility; organisational heads have to build the capacity of their HR managers to recognise the importance of taking personal responsibility for artificial intelligence algorithm bias because, by failing to nurture the appropriate attitude to reinforce personal norm among managers, no immediate action will be taken.

By integrating the social identity theory, norm activation theory and justice theory, the study improves our understanding of how a collective organisational identity, perception of justice and personal values reinforce a positive reactive response towards AI bias outcomes.