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Data assets and digital resources (DADRs) are among the world’s most valuable resources, yet their economic value is often underrepresented in GDP statistics and corporate financial statements. This underrepresentation stems from several factors, such as the complexities of valuing data assets, the absence of standardized accounting principles for data and other intangible assets and conflicting views on the need for such accounting. In this study, we strive to reconcile conflicting views by empirically investigating whether such accounting is necessary from the perspective of investors, namely, do investors care about the accounting treatment of DADR?

We leverage a unique event and adopt a well-established event-study approach to examine investors’ responses to a recent regulatory announcement regarding the accounting treatment of data assets. In August 2023, China’s Ministry of Finance introduced the Interim Provisions on the Accounting Treatment of Enterprise Data Resources (hereafter referred to as the Interim Provisions), marking the world’s first formalized framework for data asset accounting. This event provides an ideal context for this inquiry.

Our findings indicate that markets respond positively to the announcement, particularly for firms with more DADR proxied in different ways. However, the positive market reaction is significantly smaller for companies with higher levels of intangible asset intensity. This result aligns with the emerging literature, suggesting that firms with high intangible intensity experience greater information asymmetry and reduced value relevance of financial statements due to inadequate accounting treatment of intangibles. Moreover, the economic implications are notable. A long–short portfolio strategy, which involves buying stocks of firms in the top quartile of DADR proxies and selling those in the bottom quartile, yields an annualized cumulative abnormal return (CAR) of over 3.00%.

The novel insights from this study help reconcile conflicting views on the need for accounting treatment of data and other intangible assets because investors care about the accounting of data assets. Moreover, our research indicates an urgent need for the development of clear accounting guidelines for data and other intangibles, which would improve the consistency and reliability of financial reporting, benefiting all stakeholders. Finally, our findings hold important implications for regulators and accounting standard setters, especially given the ongoing debates regarding accounting for intangible assets.

Social protection states the public-mandated (strategies and programmes) to address the vulnerability and risk among poor and near-poor households. Social protection must not only help people meet their basic needs but also contribute to the long-term well-being and broader societal goals of equity, social justice and empowerment. The role of social protection in achieving these goals has not been adequately documented. This paper examines the performance of the social protection mechanism from the perspective of the regional structural and institutional performance indicators. Social protection outlay dynamics are synthesized in the structural and institutional conducts.

A world regional comparability is made by considering the panel dataset for the time interval 1995–2020. In empirics, the unconditional and conditional ranks are constructed, and regression analyses are made subject to (1) the fiscal constraint of social protection, (2) structural performance indicators and (3) the institutional performance indicators of the targeted regions across the globe. The fully modified-ordinary least square (FM-OLS) method is used to construct the ranks.

The rank analysis demonstrates that the developed regions (i.e. Europe, Central Asia and North America) have relatively good welfare standards and fiscal capacity for social protection drives compared to the developing/underdeveloped regions (i.e. Sub-Saharan Africa and South Asia). The structural/institutional performance indicators have shown their significance in determining/utilizing their budget for social protection and maintaining welfare standards. Interestingly, most developed regions are relatively reluctant to maintain the structural/institutional performance for the determination/execution of the funds for social protection as compared to the developing and underdeveloped regions.

In policy discourse, this research suggests that governments must make some market operations to enhance their regions’ structural and institutional performance to get better outcomes of social protection spending in the form of attractive welfare standards.

Multiple studies have been done considering the social protection dynamics at nano, micro and macro levels, while this study considered the mega dataset across the globe to analyse the social protection dynamics in consideration of structural and institutional performances.

Decision-makers often struggle to combine advice with their own intuition. This study examines how advice-giver traits and decision-makers’ intuition influence advice uptake. We present a novel typology based on decision-makers’ trust in advice-givers and their perceived expertise.

This qualitative study uses a sample of publicly available interview data with 51 elite performers. Using inductive and content analysis, we explore the mediation between decision-makers’ intuitive competence (ability to effectively deploy intuition in interface with advice) and their autonomy (self-endorsement from past performance).

We identify four sources of advice: mentor advice, specialist advice, confidant advice and commentator advice. Drawing on instances of different sources of advice along varying degrees of trust and expertise, we propose a framework for interaction between intuitional competence and advice characteristics.

We offer a novel way of contextualising nuanced forms of advice and provide a structured typology of sources, characterised by trust and expertise. This typology and our findings help reconcile contradictions in decision-making research. Finally, we offer practical guidance for the uptake of advice.

This study aims to investigate the unique cultural attributes of a particular association. The research focuses on a single case study involving a civil society organization whose activities are focused within the Israeli Defense Forces (IDF). Specifically, the association under examination is a religious voluntary organization engaged in social activities within the Israeli Defense Forces.

Data collection employed a qualitative approach using the case study method, with twenty in-depth ethnographic interviews conducted. The research questions guiding the study are: What are the hybrid structural characteristics of the religious association? How has this hybrid structure influenced the organizational culture?

The study identifies a hybrid structure comprising community, familial, and bureaucratic features. It reveals a blend of clan and bureaucratic cultural elements within the organization, demonstrating adaptability to the ideology of the Israeli Defense Forces.

The research uncovers an innovative hybrid structure that successfully navigates bureaucratic challenges and fosters a familial atmosphere contributing to communal benefits.

This research introduces and validates psychological ownership of health as a novel theoretical construct characterized by individuals’ perceived possessiveness, attachment and responsibility toward their health. This study aims to examine the construct’s ability to predict and explain consumers’ health-related decision-making for themselves and others.

Two online surveys with US participants (N = 680) were conducted. The psychological ownership of health scale was first validated through confirmatory factor analysis. Next, the influence of psychological ownership of health on positive health behaviors and blood donation intentions was assessed using multiple regression analyses and conditional process modeling.

Psychological ownership of health demonstrated significant positive associations with health-promoting behaviors (dietary choices, physical activity, sleep hygiene) mediated by health self-efficacy. In addition, psychological ownership of health predicted increased blood donation intentions, and this relationship is amplified among individuals high in cultural collectivism.

The findings suggest that interventions fostering psychological ownership of health may simultaneously promote personal health maintenance and prosocial health behaviors. These dual implications offer promising applications for individualized and public health initiatives.

This research advances psychological ownership theory by establishing and validating a health-specific dimension that predicts critical health behaviors at individual and societal levels. By identifying cultural collectivism as a moderator, this research also integrates psychological ownership theory with cultural dimensions theory, revealing cultural variability in health ownership’s influence on prosocial health outcomes.

The purpose of this study is to understand how leaders of entrepreneurial small and medium-sized enterprises (SMEs) in Australia and Pakistan strategise and design their organisational environments to enable innovation and enhanced organisational performance.

Drawing from the resource-based view (RBV) theory, this study investigates the mediating role of workplace innovation between design leadership and organisational performance across entrepreneurial SMEs in Australia and Pakistan. Data were obtained from 367 top-level executives in Australia and 367 from Pakistan using paper-based and online surveys.

The results highlight significant cross-country differences, indicating that entrepreneurial SMEs in Pakistan tend to overlook the creation of an enabling work environment favourable for innovation, which reduces the positive impact on organisational performance. In contrast, Australian SMEs exhibit a stronger alignment between innovation and performance outcomes.

The study makes a theoretical contribution by extending RBV theory within the contexts of design leadership, workplace innovation and SME performance, particularly in comparative international settings.

The findings offer actionable strategies for SME leaders, particularly in developing economies, highlighting the significance of encouraging internal abilities such as a conducive innovation culture. This could model strategic development and training schemes designed to achieve sustainable competitive advantage through improved organisational performance.

This study uniquely reveals the differential mediating effect of workplace innovation on the design leadership–performance nexus in developed versus developing countries. The absence of significant mediation in Pakistan stresses the distinct entrepreneurial underlying forces and challenges faced by SMEs in developing economies.

This study aims to apply machine learning techniques to efficiently predict leisure firms’ financial performance. Accurate financial forecasting is crucial in leisure and tourism, greatly affecting firms’ strategic decisions and competitive positioning. This study emphasizes the roles of intellectual capital to offer a nuanced understanding of how these types of capital influence firm success.

Using comprehensive firm-level data, this study examines several machine learning algorithms’ predictive capacity across a spectrum of industry sectors (general, manufacturing, service) to identify the most effective model and training dataset. These tools are used to evaluate financial metrics such as return on sales, return on assets and sales growth. A range of variables are incorporated into this process to enhance model accuracy and relevance.

Results demonstrate the support vector machine algorithm’s exceptional performance based on a training data set from the service sector in predicting leisure firms’ return on sales and sales growth. This algorithm is thus an efficacious strategic forecasting instrument. The variables significantly affecting firm performance include demand variation; organizational, product and technological innovation; synergistic innovation between multiple domains; salary levels; market strategy; and the number of employees.

By integrating advanced machine learning techniques with the strategic management of intellectual capital, this study presents a sophisticated approach to predicting leisure firms’ financial performance. Findings enrich the discourse on firm performance forecasting and offer actionable insights into strategic planning and resource allocation for practitioners in the leisure and tourism sectors.

本研究应用机器学习技术来高效预测休闲企业的财务表现。准确的财务预测对于休闲和旅游业至关重要, 极大影响企业的战略决策和竞争定位。本研究强调智力资本的作用, 以深入理解这些资本类型如何影响企业的成功。

本研究使用全面的企业层面数据, 考察多种行业领域（综合、制造、服务）中多个机器学习算法的预测能力, 识别出最有效的模型和训练数据集。这些工具用于评估财务指标, 如销售回报率、资产回报率和销售增长率。过程纳入多种变量, 以提高模型的准确性和相关性。

结果表明, 基于服务行业训练数据集的支持向量机算法在预测休闲企业的销售回报率和销售增长率方面表现出色。因此, 该算法是一种有效的战略预测工具。影响企业绩效的显著变量包括需求变化、组织、产品和技术创新、多领域之间的协同创新、工资水平、市场战略和员工数量。

通过将先进的机器学习技术与智力资本的战略管理相结合, 本研究提出了一种复杂的方法来预测休闲企业的财务表现。研究结果丰富了关于企业绩效预测的讨论, 并为休闲和旅游业的从业者提供了有关战略规划和资源分配的实用见解。