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This study develops and tests a model that explores how human capital impacts micro-business performance through the sequential mediation of new technology adoption and entrepreneurial bricolage.

A cross-sectional study was conducted on 508 women entrepreneurs engaged in micro-businesses in Malaysia. This study used partial least squares structural equation modeling to test the hypotheses.

This study demonstrates the significant impact of human capital on micro-business performance. It establishes a sequential mediation model in which technology adoption and entrepreneurial bricolage mediate the nexus of human capital–micro-business performance.

This study contributes to the theory by innovatively integrating human capital, new technology adoption, entrepreneurial bricolage, and microbusiness performance, drawing on the resource-based view and human capital theory. However, its cross-sectional nature limits causal inference, and focusing solely on women entrepreneurs in Malaysian micro-businesses may constrain novelty. Additionally, the reliance on self-reported data introduces bias, emphasizing the need for future research.

Fostering entrepreneurial bricolage and embracing technology adoption can enhance performance. Business managers can optimize strategies by promoting continuous learning, innovative problem-solving, and technological advancements.

This study highlights the potential social and economic impacts of supporting women-owned micro-businesses in Malaysia. Policymakers can promote economic growth, employment, and community well-being by emphasizing innovation, human capital development, and technology adoption in Malaysia’s diverse ethnic contexts.

This study introduces a distinctive serial mediation framework to understand the impact of human capital on micro-business performance. It explores mediation dynamics, extends the knowledge of serial mediation in the human capital-performance relationship of microbusinesses, and contributes to the unexplored roles of technology adoption and entrepreneurial bricolage in Malaysian micro-businesses.

This study aims to examine the effect of entrepreneurial resources on micro businesses and the mediating role of innovation capability in this relationship.

A structured questionnaire was used to gather data for this quantitative study, which adopted partial least squares structural equation modelling to test the hypotheses on a sample of 455 women entrepreneurs in Malaysia.

The results reveal that entrepreneurial resources, particularly technical resources, positively and significantly affect innovation capability and enhance business performance. Furthermore, innovation capability mediates the relationship between entrepreneurial resources and microbusiness performance.

This study contributes theoretically by combining six entrepreneurial resources into a single framework in light of the resource-based view and finance-based theory. The results corroborate the effects of entrepreneurial resources on the performance of women’s micro businesses and the mediating role of innovation capability in this relationship. However, the cross-sectional design study limited this study’s ability to engage respondents in a more in-depth analysis of pertinent themes.

This research provides guidance and directions for business managers/owners and decision makers to adopt and improve entrepreneurial resources to achieve superior performance and competitive advantages. It presents evidence of innovation capability’s significant role in converting resources into innovative outcomes and creating value. Additionally, it is useful for policymakers to design development programmes for micro, small and medium enterprises (MSMEs) in emerging markets.

This study highlights the value of innovation with a variety of entrepreneurial resources for women business owners that significantly impact Malaysian employment and gross domestic product and may have a positive social impact by enhancing social life in local communities. The nation’s unique context of multiracial and ethnic groups reflects Malaysia’s truly Asian ethnic composition.

This study fills the research gap by offering empirical evidence of the mediating role of innovation capability in the link between entrepreneurial resources and microbusiness performance, thus significantly contributing to emerging markets worldwide, where women-owned micro businesses are increasingly generating value and employment.

This study aims to advance and analyze the influence that firms’ diversification approach brings to the businesses’ performance via competitive advantage (CA) and access to capital in a developing economy.

Using primary mode, the present study uses the sample of 104 diversified manufacturing firms to analyze the conditional indirect effect of firms’ diversification approach on efficient resource allocation using SAS process macros.

This study corroborates that in the era of uncertainty (when businesses are struggling to survive), a diversification approach can help the firms to build resilience against uncertainties to achieve resource allocation efficiency. Furthermore, findings also reveal that for successful strategic implementation firm’s access to capital (tangible and intellectual capital) play a critical role.

Theoretically, this study has made a sizeable contribution to the resource-based theory of a firm’s literature with a new compositional-based theoretical perspective and also by providing an insight into the relationship between strategic approaches, access to capital and resource allocation efficiency. However, the current study’s ability to provide a deep understanding of the phenomenon was restricted by the lack of data availability and a self-reporting questionnaire approach.

Potential applications of the current research exist for manufacturing industry managers and policymakers to achieve efficiency and CA. This study provides evidence of the obstacles to diversification discounts while allocating resources. At the same time, it provides a crucial connotation for maintaining distinctive tangible and intangible capital for value addition.

The current study fills out by investigating the conditional indirect effect of access to capital in industrial era 4.0. Moreover, according to researchers’ knowledge, this study is the first to establish and empirically investigate a comprehensive model that involves a strategic approach, access to tangible and intellectual capital and performance outcome obtained through the integration of all these crucial factors.

This paper aims to analyze the economic-financial performance (EFP) and value creation (VC) in the Brazilian construction industry.

Based on the theories of strategy and finance, a quantitative-qualitative, descriptive and explanatory and applied study was carried out, contrasting the performance of the Direcional company and the civil construction industry – both listed on the Brazilian Stock Exchange and the Over-the-Counter Market (B3)

The analysis of the EFP in the Brazilian construction industry shows that EZTEC, Helbor, Trisul and Direcional were the companies with the best EFP in the period. The analysis of the Economic Value Added (EVA®, henceforth EVA), as a VC metric and basis for assessing the relative technical efficiency score by Data Envelopment Analysis (DEA®, henceforth DEA), revealed that the companies Direcional, EZTEC, MRV and CR2 were considered efficient throughout the period covered. The multicriteria methodology for empirical testing of the EFP and VC allowed not only contrasts Direcional's results with the other companies of the construction industry but also offered a complementary tool for comparative analysis of enterprises of different sizes, structures and realities.

Regardless of any contextual limitations, from a theoretical point of view, the research not only helps fill the research gap aforementioned but also expands knowledge on the topic and demonstrates how this multi-criteria methodology (integrating DEA and EVA) can be used to assess EFP and VC in addition to traditional tools. However, this new approach evaluates, at the same time, corporate and sectorial effectiveness by contrasting the efficiency and efficacy (simultaneously) in the generation of performance and value of a company in relation to the industry.

Significant implications for managerial practice could be noted by offering a tool to improve company performance and creating a competitive benchmarking process for analysts, investors, managers, financing agencies, shareholders, policymakers and business owners, as well as organizations and sectors in similar situations – who need to assess the EFP and VC holistically and improve their decision-making processes.

The uniqueness and innovation of this research come from the original multi-criteria methodology developed, applied and validated for analysis of EFP and VC. This methodology was operationalized through DEA applied to the companies' EVA, making it possible to compare corporate results and those of the whole industry in a balanced way – an unexplored issue in the literature, especially in emerging economies, opening several avenues for future research.

Este artículo tiene como objetivo analizar el desempeño económico-financiero (DEF) y la creación de valor (CV) en la industria de la construcción brasileña.

Con base en las teorías de estrategia y finanzas, se realizó un estudio cuanti-cualitativo, descriptivo, explicativo y aplicado, contrastando el desempeño de la empresa Direcional y de la industria de la construcción civil, ambas cotizadas en la Bolsa y Mercado Extrabursátil Brasileña (B3).

El análisis de la DEF en la industria de la construcción brasileña muestra que EZTEC, Helbor, Trisul y la Direcional fueron las empresas con el mejor desempeño en el período. El análisis del Valor Económico Agregado (en adelante EVA), como métrica de CV y base para evaluar el puntaje de eficiencia técnica relativa mediante Análisis Envolvente de Datos (en adelante DEA), reveló que las empresas Direcional, EZTEC, MRV y la CR2 se consideraron eficientes durante todo el período cubierto. La metodología multicriterio para pruebas empíricas de la DEF y CV permitió no sólo contrastar los resultados de la Direcional con los de otras empresas del sector de la construcción, sino que también ofreció una herramienta complementaria para el análisis comparativo de empresas de diferentes tamaños, estructuras y realidades.

La singularidad y la innovación de esta investigación provienen de la metodología original multicriterio desarrollada, aplicada y validada para el análisis de DEF y CV. Esta metodología fue operacionalizada a través de DEA aplicado al EVA de las empresas, permitiendo comparar los resultados corporativos y los de toda la industria de manera equilibrada – un tema inexplorado en la literatura, especialmente en las economías emergentes, abriendo varias vías para futuras investigaciones.

Independientemente de las limitaciones contextuales, desde un punto de vista teórico, la investigación no solo ayuda a llenar el vacío mencionado anteriormente, sino que también amplía el conocimiento sobre el tema y demuestra cómo esta metodología multicriterio (integrando DEA y EVA) puede utilizarse para evaluar el DEF y CV además de las herramientas tradicionales. Sin embargo, este nuevo enfoque evalúa, al mismo tiempo, la efectividad corporativa y sectorial contrastando la eficiencia y eficacia (simultáneamente) en la generación de desempeño y valor de una empresa en relación con la industria.

Se podrían observar implicaciones significativas para la práctica gerencial al ofrecer una herramienta para mejorar el desempeño de la empresa y crear un proceso de evaluación comparativa competitivo para analistas, inversionistas, gerentes, agencias financieras, accionistas, formuladores de políticas y propietarios de negocios, así como organizaciones y sectores en situaciones similares, que necesitan evaluar el DEF y el CV de manera integral y mejorar sus procesos de toma de decisiones.

This study aims to investigate the impact of information and communication technology (ICT) investment on the micro, small and medium enterprises (MSME) profitability in the Indian context.

This study used a framework based on the ICT investment and firm size, measuring the impact on profit before depreciation, interest, tax and amortisation of MSME by taking a random sampling of 300 Indian MSME manufacturing firm’s secondary data from the Prowess database. This framework was analysed using the design of experiment (DoE) technique.

The study showed that ICT investment has a significant positive relationship with profitability. This study examines the different ICT investment levels to predict investment strategies and fine-tune profit targets. The critical finding is that ICT investment maximises profit at one million rupees. This discovery aids MSME leaders’ sustainable business decision-making.

This study has an explicit limit to the Indian context, where the firm requirements of countries are different, and these findings need to be validated with many operating variables and applied to more firms with more data. Even so, as a theoretical implication, this study took a novel approach to ICT adoption (through ICT investment) in the Indian MSME sector with guiding levels of ICT investment for each type of firm (i.e. micro, small and medium). This study opens new avenues for investigating researchers and stakeholders by exploring other factors responsible for ICT adoption.

This study uniquely provides practitioners with the functional level of ICT investment for MSMEs in the Indian context. These finding guides top management to make strategic ICT adoption decisions with information symmetry. At the same time, these findings suggest financial institutions astern their credit programme to provide credit for ICT investment in MSMEs.

This study highlights the value of ICT as a practical resource for business owners that significantly makes MSMEs more informed and profitable, thus creating more jobs and incrementing the country’s gross domestic product (GDP).

This study offers unique empirical findings on how decision makers in MSMEs maximise profits through optimal ICT investment levels depending upon the firm size in an emerging economy like India. There is evidence in the study to conclude that ICT is a need of MSME and has implications for firm performance.

The distant data centre-centric Internet of Things (IoT) systems face the latency issue especially in the real-time-based applications, such as augmented reality, traffic analytics and ambient assisted living. Recently, Fog computing models have been introduced to overcome the latency issue by using the proximity-based computational resources, such as the computers co-located with the cellular base station, grid router devices or computers in local business. However, the increasing users of Fog computing servers cause bottleneck issues and consequently the latency issue arises again. This paper aims to introduce the utilisation of Mist computing (Mist) model, which exploits the computational and networking resources from the devices at the very edge of the IoT networks.

This paper proposes a service-oriented mobile-embedded Platform as a Service (mePaaS) framework that allows the mobile device to provide a flexible platform for proximal users to offload their computational or networking program to mePaaS-based Mist computing node.

The prototype has been tested and performance has been evaluated on the real-world devices. The evaluation results have shown the promising nature of mePaaS.

The proposed framework supports resource-aware autonomous service configuration that can manage the availability of the functions provided by the Mist node based on the dynamically changing hardware resource availability. In addition, the framework also supports task distribution among a group of Mist nodes.

Innovation is critical for businesses to stay competitive in today's world, as it allows them to constantly look for new ways to differentiate their products or services from their competitors as well as improve cost-effectiveness. This study explore the role of strategic human resource practices in developing organizations' competitive capabilities-differentiation and cost-effectiveness, which, improves their innovation performance to create a competitive advantage.

The authors collected data from 387 employees from 25 knowledge-intensive information technology organizations in India through a questionnaire-based survey. After checking for biases, reliability and validity, the hypothesized relationships were tested by structural equational modeling using AMOS 26.

Strategic HR practices have a significant and positive effect on innovation performance and both competitive capabilities-differentiation and cost-effectiveness. While the differentiation capability had a strong positive effect on innovation performance, cost-effectiveness capability was not significantly related to innovation performance. The differentiation capability mediates the relationship between strategic HR practices and innovation performance link, whereas the cost-effectiveness capability did not have a mediating effect.

This study provides practical insights to HR and knowledge managers to focus on development of human capital and invest in hiring, training, development, strategic performance management practices to enhance employees' knowledge behaviors, which, stimulates innovation performance.

The paper adds to the strategic HRM paradigm by clarifying the underlying process of how strategic HR practices leads to higher innovation. It affirms the vitality of choosing appropriate competitive capabilities, and supporting organizational factor for business's success. It fills an important research gap by providing original empirical evidence from knowledge intensive information technology organizations in the emerging economy of India.

This paper aims to analyze the role and performance of different artificial intelligence (AI) algorithms in forecasting future movements in the main indices of the world’s largest stock exchanges.

Drawing on finance-based theory, an empirical and experimental study was carried out using four AI-based models. The investigation comprised training, testing and analysis of model performance using accuracy metrics and F1-Score on data from 34 indices, using 9 technical indicators, descriptive statistics, Shapiro–Wilk, Student’s t and Mann–Whitney and Spearman correlation coefficient tests.

All AI-based models performed better than the markets' return expectations, thereby supporting financial, strategic and organizational decisions. The number of days used to calculate the technical indicators enabled the development of models with better performance. Those based on the random forest algorithm present better results than other AI algorithms, regardless of the performance metric adopted.

The study expands knowledge on the topic and provides robust evidence on the role of AI in financial analysis and decision-making, as well as in predicting the movements of the largest stock exchanges in the world. This brings theoretical, strategic and managerial contributions, enabling the discussion of efficient market hypothesis (EMH) in a complex economic reality – in which the use of automation and application of AI has been expanded, opening new avenues of future investigation and the extensive use of technical analysis as support for decisions and machine learning.

The AI algorithms' flexibility to determine their parameters and the window for measuring and estimating technical indicators provide contextually adjusted models that can entail the best possible performance. This expands the informational and decision-making capacity of investors, managers, controllers, market analysts and other economic agents while emphasizing the role of AI algorithms in improving resource allocation in the financial and capital markets.

The originality and value of the research come from the methodology and systematic testing of the EMH through the main indices of the world’s largest stock exchanges – something still unprecedented despite being widely expected by scholars and the market.

By combining relevant literature and using quantitative methodology, this study aims to look into the role of knowledge management (KM) as a mediator between entrepreneurial competencies (ECs) and the sustainable performance (SP) of manufacturing small and medium-sized enterprises (SMEs).

The relationships in the proposed model were examined with data collected from 122 Malaysian SMEs using a cross-sectional technique and a standardized questionnaire and analyzed using structural equation modeling path analysis.

According to the findings, ECs have a positive and considerable impact on KM as well as the SP of manufacturing SMEs. Importantly, KM partially mediates between ECs and the SP of manufacturing SMEs.

This research provides a theoretical contribution through the integration of ECs, KM and SP within a unified framework that takes into account the viewpoints of the resource-based view, the knowledge-based view and the triple bottom line. The results corroborate that ECs directly affect SP and indirectly through KM. Nevertheless, the study’s use of cross-sectional survey data makes it impossible to draw conclusions about causes. This is because ECs, KM and SP all have effects on time that this empirical framework cannot account for.

The findings of this research provide valuable insights for managers and decision-makers in SMEs, who are expected to show an increasing interest in adopting KM processes into their companies through which ECs can be translated into SP.

By applying the proposed framework, SMEs can conduct their activities in ways that do not harm environmental and societal well-being while achieving appropriate economic performance at the same time.

As a result, the findings of this study can add to the literature on ECs and KM, as well as boost the chances of SME sustainability. Directions for future research are also provided in relation to a better understanding of the factors affecting the SP of SMEs.

This paper aims to extend our understanding of the concept of crisis leadership based on perceptions of 48 Australian leaders drawn from various sectors including Australian politics, higher education, not-for-profit and corporate sectors.

This qualitative study employed semi-structured virtual interviews of 48 leaders from Australian politics, higher education, not-for-profit and corporate sectors during the COVID-19 pandemic. The Leximancer text analytics program was used for data analysis.

Participants perceived effective leadership during a crisis as encompassing four macro themes: leadership as power, leadership as emanating from people, leadership as management and leadership as specific to the organization. While these findings reinforced extant literature on facets of effective leadership, leaders from different sectors differed on the relative importance of some leadership themes and their relevance to specific sectors.

While the data were collected from a convenient sample, our findings from multiple sectors in Australia extend our knowledge on crisis leadership by revealing differences in sectorial perspectives of crisis leadership. Further, these findings help refine the extant traditional explanations of leadership and especially offer an enhanced understanding of leadership during a crisis. Consequently, our findings support future research that could help identify specific attributes of leaders navigating organizational crises. Such future research could subsequently help develop a theory on crisis leadership based on a valid and reliable measurement for assessing crisis leadership effectiveness in diverse organizational settings.

Our study is based on multi-sector data and consequently lays a solid foundation for extending the conceptualization of leadership during crisis, and the need to reconceptualize effective leader attributes useful in crisis contexts. Theoretically, the current study extended recent research on crisis leadership, by examining the conceptualizations of crisis leadership within specific Australian sectors.