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Recently, financial inclusion promoters have observed that financial literacy is a vital tool for financial inclusion growth, especially among the poor who are considered financially illiterate. The purpose of this paper is to look at the role of Islamic financial literacy (IFL) and inclusion in improving the performance of micro, small and medium enterprises (MSMEs) in Indonesia.

This study uses questionnaire data collected as many as 197 MSMEs. This study was analyzed using structural equation modeling approach to test the hypothesis.

The results show that IFL is an important variable to increase Islamic financial inclusion. The results also show that both have a significant influence in developing the MSME sector business.

This research is not without limitations. This study only adopted a sample in one Province in Indonesia with focus on creative economy sector and some others sectors located in the province of Riau, therefore ignoring suburban and urban areas in Indonesia. Therefore, future studies using a cross-sectional research design are feasible. In addition, this study only uses quantitative data, so that qualitative research with key informant interviews can be considered for further research.

The findings of this study enlighten policymakers, managers of financial institutions and advocates of financial literacy and inclusion about the importance of improving the performance of MSMEs. As a policy recommendation, this study suggests that Islamic policy makers and financial institutions should play a proactive role in increasing service outreach and providing the regulatory environment needed for MSMEs given the important role MSMEs play in the Indonesian economy.

This study combines functional components (behaviors and attitudes) and nonfunctional measures (knowledge and skills) of financial literacy and financial inclusion in explaining the performance of MSMEs. Thus, this research is an initial effort to explain financial literacy and inclusion on the performance of MSMEs.

The research methodology used for this case study follows a comprehensive approach, combining both primary and secondary sources to ensure a well-rounded understanding of the subject. Primary sources include in-depth interviews with the founders of the company, providing valuable firsthand insights into their experiences and decision-making processes. Multiple company visits were also conducted, enabling a closer examination of the operational aspects and allowing for a more holistic perspective on the case. Complementing these primary sources, secondary sources were used, consisting of a diverse array of articles from leading journals, newspapers, magazines and other reputable sources. These secondary sources offer a broader context and perspective, enriching the case study’s content and ensuring a robust foundation for classroom discussion and analysis.

True Elements was a clean health food brand that emerged from the vision of Mr Sreejith Moolayil and co-founder, Mr Puru Gupta, who recognized the potential of promoting healthy foods in India inspired by the health-conscious lifestyle that they observed during their work tenure in China. The co-founders began their entrepreneurial journey in 2011 with “Healthy World” kiosks inside IT company campuses in Delhi, Mumbai and Pune. However, early challenges surfaced as the target market narrowed. Undeterred, the founders sought innovative solutions to expand their reach and created “True Elements” – a brand that resonated with health-conscious consumers given its positioning as a clean and minimally processed food brand devoid of chemicals, preservatives and added sugars. True Elements excelled in the online market and catered to a few offline markets. To sustain and augment their success, the entrepreneurs sought a strategic partnership and succeeded with Marico Ltd. However, challenges remained on the horizon. One was the need to appeal to a new target group: the 25–45 age group with a lower monthly income of INR 30,000. Another pressing question was exploring the entry into the modern trade sector.

This case can be taught in undergraduate and post-graduate business management programs for marketing, strategy and innovation and entrepreneurship related courses. Apart from that, this case can also be discussed in incubator programs as cases highlighting entrepreneurship can facilitate discussions among early-stage founders, providing practical insights and lessons for their ventures. This case also can be discussed very effectively in management classes for working executives.

The process of ending mental health support is often not well-attended to in practice or research, and clinicians in UK mental health services lack focused clinical guidance in this area. This paper aims to report on a service evaluation that sought to understand from clinicians working in a single adult community mental health team (CMHT) their experiences of discharge and issues arising in the process, factors considered in decision-making and what constitutes “good” endings and what support could be helpful to them in navigating this with clients.

Semi-structured interviews were completed with six members of the multi-disciplinary team and analysed thematically.

Clinicians described a range of criteria considered in discharge decision-making. Collaboration, planning and preparation were represented as key ingredients for “good” endings. Factors viewed as complicating discharge included complexity and changes in presentation, psychosocial contexts and re-referrals. Perceptions of clients’ feelings (resistance and dependence, fear and anger, relief and gratitude) and varying feelings evoked for clinicians (from little or no reported impact, to pride and confidence, sadness and worry) at the ending of the working relationship were reported. Suggested organisational supports for clinicians with endings and discharges involved opportunities to consult with colleagues, psychological formulation and advice and reflective supervision.

There has been limited empirical attention to practitioner experiences of discharge in the work of CMHTs in a UK context; this practitioner-led evaluation explored clinician perspectives.

To ensure health, social and criminal justice services are suited to the complex and dynamic needs of people with learning/intellectual disabilities (LD) at risk of offending, it is important to systematically analyse the needs and characteristics of this population. This study aimed to analyse the patterns of referrals to a single community forensic LD service before and during the COVID-19 pandemic.

A structured audit was conducted on all referrals to the service (n = 37) across a three-year period (May 2019 – end of July 2022).

The majority of the overall sample were male (36, 97%) and Caucasian (24, 65%) with a mean age of 32.9 years and mild LD. The most prevalent current offending type was sexual offending (17, 44%), whereas the most prevalent historical offending type was violence (17, 35%). The most common service/function offered by the service was advice and consultation to other professionals and agencies (10, 19%). The service user and forensic/legal characteristics measured did not differ significantly before and during COVID-19.

To the best of the authors’ knowledge, the project is the first to systematically analyse and compare community forensic LD service referral patterns before and during the COVID-19 pandemic. This study also provides an example of how a structured audit tool can be used to benefit individual services and the wider literature on assessing the needs and characteristics of adults with LD who live in the community and are at risk of [re]offending.

The purpose of this paper is to examine patient engagement in remote consultation services, an increasingly important issue facing Healthcare Operations Management (HOM) given the significant expansion in this and other forms of telehealth worldwide over the last decade. We use our analysis of the literature to develop a comprehensive framework that incorporates the patient journey, multidimensionality, antecedents and consequences, interventions and improvement options, as well as the cyclic nature of patient engagement. We also propose measures suitable for empirical assessment of different aspects of our framework.

We undertook a comprehensive review of the extant literature using a systematic review approach. We identified and analysed 63 articles published in peer-reviewed scientific journals between 2003 and 2022.

We conceptualise patient engagement with remote consultation across three key aspects: dimensions, process, and the antecedents and consequences of engagement. We identify nine contextual categories that influence such engagement. We propose several possible metrics for measuring patient engagement during three stages (before service, at/during service and after service) of remote consultation, as well as interventions and possible options for improving patient engagement therein.

The primary contribution of our research is the development of a comprehensive framework for patient engagement in remote consultation that draws on insights from literature in several disciplines. In addition, we have linked the three dimensions of engagement with the clinical process to create a structure for future engagement assessment. Furthermore, we have identified impact factors and outcomes of engagement in remote consultation by understanding which can help to improve levels of adoption, application and satisfaction, and reduce healthcare inequality. Finally, we have adopted a “cyclic” perspective and identified potential interventions that can be combined to further improve patient engagement in remote consultation.

Despite the increasing heterogeneity of the organizational workforce – as a consequence of major worldwide socioeconomic trends – a considerable number of studies shows how traditionally underrepresented groups still face significant barriers in entering the labor market. Literature has highlighted several grounds for discrimination: ethnicity, age, gender, religion, social status, sexual orientation, etc., and while some of these are extensively investigated (e.g. ethnicity), other fields are still gaining evidence (e.g. social status).

In the current paper, we aim at providing a review of current experimental studies aimed at detecting discrimination in hiring and the possible interventions to reduce bias. Then, we offer a point of reflection for policymaking, analyzing whether such issue should be addressed at the level of the individual (i-frame) or rather at a more systemic level (s-frame).

The paper provides substantial evidence that discrimination in hiring still exists, despite the never greater pressure for firms’ social sustainability. Further, existing interventions appear to have an overall limited impact in reducing bias. Hence, we suggest that the issue of discrimination in hiring should be tackled at a systemic level, by means of s-frame interventions.

The paper offers a comprehensive understanding of the phenomenon by systematizing the existing body of knowledge deriving from empirical research and offering a broad perspective onto policy implications.

This paper examines the efforts of National Health Service (England) (NHSE) to respond to employee-based racial inequalities via its Workforce Race Equality Standard (WRES). The WRES constitutes a hybridised accountability initiative with characteristics of the moral and imposed regimes of accountability.

The study conceptualises the notion of responsive race accountability with recourse to Favotto et al.’s (2022) moral accountability model and critical race theory (CRT), and through it, examines the enactment of WRES at 40 NHSE trusts using qualitative content analysis.

Despite the progressive nature of the WRES that seeks to nurture corrective actions, results suggest that trusts tend to adopt an instrumental approach to the exercise. Whilst there is some evidence of good practice, the instrumental approach prevails across both the metric reporting that trusts engage in to guide their actions, and the planned actions for progress. These planned actions not only often fail to coalesce with the trust-specific data but also include generic NHSE or equality, diversity and inclusion initiatives and mimetic adoptions of best practice guidance that only superficially address racial concerns.

Whilst the WRES is a laudable voluntary achievement, its moral imperative does not appear to have translated into a moral accountability within individual trusts.

Responding to calls for more research at the accounting-race nexus, this study uniquely draws on CRT to conceptualise and examine race accountability.

With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

The research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

The nexus of transport and tourism is critical to the 2021 Glasgow Declaration which sets out the net zero by 2050 goal for global tourism in the context of the Paris Agreement. Numerous small and medium-sized urban destinations (SMUDs) populated under one million are constrained by a limited capacity to manage visitor flows and increasing greenhouse gas (GHG) emissions. This paper aims to develop an analytical approach for urban practitioners, based on a case study in Taiwan, to identify the low-emission pathway and strategies for tourism passenger transport.

A GHG emissions assessment and scenario analysis were enabled by historical activity data from official sources and projected scenario data from the International Energy Agency. The scenarios were established based on the avoid-shift-improve framework for low-carbon transport.

To drive tourism passenger transport to a low-emission pathway compatible with the Paris Agreement goal, three low-carbon transport strategies, i.e. “Avoid,” “Shift” and “Improve,” shall be applied all together, with a focus on “improving” the efficiency of heavy-duty vehicles and rail transport. Meanwhile, alternative tourism and integrated transport policy packages could enhance demand-side management of visitors’ mobility, enabling the “avoid” and “shift” strategies.

Unlike most studies that have focused on large cities or small tourist areas, this paper addressed our knowledge gap regarding the low-emission pathway for tourism transport in numerous SMUDs compatible with a 1.5°C world. The proposed analytical approach can help policymakers assess effective strategies toward the targeted pathway.

This study introduces an innovative approach to long-term economic forecasting by integrating anticipatory governance (AG) and causal layered analysis methodologies. Focussing on emerging economies, with Vietnam as a case study, we explore potential economic trajectories to 2050.

The research employs a mixed-method approach, combining quantitative economic projections with qualitative scenario building and analysis.

Our findings reveal four distinct future scenarios, ranging from low growth to transformative change. The preferred scenario, characterized by adaptive change, projects a Gross National Income (GNI) per capita of $30,684 by 2050, with significant reductions in agricultural labour and improvements in human development indicators.

This study contributes to theoretical and practical domains by demonstrating the value of integrated foresight methodologies in economic planning. It offers policymakers a comprehensive framework for navigating complex, long-term economic challenges and opportunities. This research underscores the importance of adaptive governance and systemic thinking in achieving sustainable, inclusive economic growth in an increasingly uncertain global environment.