Search results

Disruptive technologies have changed the way that firms model their business approach. The aim of this study is to analyse the influence of novel digital technologies (artificial intelligence [AI] and machine learning [ML]) and big data analytics on the digital transformation of digital marketing firms. This research study is based on a review of the extant literature, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Gaps in the extant research literature were identified and emerged that are directly linked with the impact of AI, ML and big data analytics on digital transformation for digital marketing firms. Potential opportunities for digital transformation in digital firms were also unlocked, as well as related challenges. The research informs practice and policy for the current trends and provides future research directions. The study was limited to the application of the PRISMA methodology, which is incapable of fully providing testable results for a given study. Complementary cross-sectional research studies using the same methodology in different areas of study with the same topic can be applied to check for relevancy and applicability. This study contributes to digital marketing, information communication technologies, information systems practice and theory building. In addition, it provides researchers with an agenda for future digital transformation research directions.

This study aims to address the issue that existing methods for limb action recognition typically assume a fixed wearing orientation of inertial sensors, which is not the case in real-world human-robot interaction due to variations in how operators wear it, installation errors, and sensor movement during operation.

To address the resulting decrease in recognition accuracy, this paper introduced a data transformation algorithm that integrated the Euclidean norm with singular value decomposition. This algorithm effectively mitigates the impact of orientation errors on data collected by inertial sensors. To further enhance recognition accuracy, this paper proposed a method for extracting features that incorporate both time-domain and time-frequency domain features, markedly improving the algorithm’s robustness. This paper used five classifiers to conduct comparative experiments on action recognition. Finally, this paper built an experimental human-robot interaction platform.

The experimental results demonstrate that the proposed method achieved an average action recognition accuracy of 96.4%, conclusively proving its effectiveness. This approach allows for the recognition of data from sensors placed in any orientation, using only training samples conducted at an orientation.

This study addresses the challenge of reduced accuracy in limb action recognition caused by sensor misorientation. The human-robot interaction system developed in this paper was experimentally verified to effectively and efficiently guide the industrial robot to perform tasks based on the operator’s limb actions.

This study explores how companies’ operations and supply networks can induce social impacts such as enhancing diversity, equity and inclusion (DEI). The study focuses on social enterprises’ supply networks and examines the effects of supply network characteristics on the creation and resolution of social–commercial objectives tension.

A supply network that is divided into five embedded cases, where each case is the supply network of a social enterprise, was studied. Forty-eight interviews at social enterprises, corporate customers, distributors, suppliers, non-governmental organizations and charities were conducted.

The study highlights how social enterprises use their supply networks to help disadvantaged people gain employment, truly balance DEI and efficiency objectives and manage paradoxical tensions. The results reveal three types of social purpose supply networks, dichotomized, paired and blended, that hybrid and for-profit organizations can adopt to jointly pursue multiple, potentially competing, objectives and resolve the paradoxical tensions in their supply networks. The creation and resolution of tension are also clarified by considering dyadic, triadic and tetradic tie structures.

The study contributes to the literature by extending the analysis of paradoxical tension between commercial and social welfare objectives such as DEI to the supply network level and revealing three social purpose supply network structures that depict social enterprises’ different ways to resolve paradoxical tensions. The study contributes to social network theory by describing the dynamic interaction between strong and weak ties in multi-tie structures.

This paper aims to explore the influence of a particular label surface texture, i.e. embossing, on consumer purchase intentions and willingness to pay. This paper further highlights the underlying mechanisms explaining this relationship by unveiling the mediating role of willingness to touch and perceived package uniqueness.

Based on the visual salience theory and the stimulus–organism–response (SOR) model, this paper tests mediations and serial mediations across two online experiments and evidence from a laboratory experiment.

Study 1 reveals perceived package uniqueness as the mediator, such that embossed elements on the label increase perceived uniqueness, hence leading to greater purchase intentions and willingness to pay. In addition, Study 2 replicates these results and goes further by demonstrating the positive effect of embossing on purchase intentions and willingness to pay through willingness to touch then perceived package uniqueness.

The findings provide insightful managerial implications by drawing attention to the importance of using embossed elements on packaging, particularly when companies seek to differentiate themselves from competitors by stimulating consumers to touch their product packaging and having them perceive their products as unique.

Using visual salience theory and the SOR model, this research is, to the best of the authors’ knowledge, the first to shed light on the effect of embossing as a visual element of the packaging design on willingness to touch the product (haptics) and perceived uniqueness, ultimately enhancing purchase intentions and willingness to pay.

The purpose of this study aims to shorten the running-in time and improve the running-in quality of cylinder liner piston rings (CLPRs), the running-in tests were carried out and running-in parameters of CLPRs were designed based on running-in attractor theory, which can guide the choice of optimal working conditions for other friction pairs.

The running-in state and time under different working conditions are identified by the evolution law of the running-in attractor phase trajectory and fractal and chaotic characteristic quantities. The CLPRs running-in tests under different conditions were conducted and the friction signals were collected. The constructed phase trajectories and calculated chaotic parameters of the running-in attractor are obtained and the running-in state and time are identified by the evolution law of phase trajectories and chaotic characteristic quantities. The running-in quality is obtained by the surface morphology fractal dimension and characteristic roughness parameters.

The running-in parameters for short running-in time and good running-in quality are designed based on the fractal and chaotic theory and the optimal solution method are used to verify the results through the single objective or multi-objective optimization, and the corresponding optimal running-in parameters are obtained.

The optimal working condition parameters obtained from the design have guiding significance for the selection of CLPR running-in parameters, and this work can provide ideas for the other friction pairs.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0179/

Based on the perspective of knowledge management, this study aims to discuss how to build cross-city emergency management collaboration mechanism in major emergencies and explore the important role of knowledge management in emergency management collaboration.

Based on the theoretical analysis of knowledge management and the typical case study of cross-city emergency management collaborative rescue, this study provides an in-depth analysis of how these cities achieve high emergency management performance through multidimensional and multilevel knowledge collaboration, thus revealing the mechanism of knowledge transfer, integration and sharing in achieving high emergency management performance.

Through analyzing typical cases, this study finds that building a smooth mechanism for multichannel emergency rescue information can promote the diversification of knowledge transfer methods, building a platform-based integration mechanism for emergency rescue information can enhance knowledge integration capabilities and building a linkage mechanism for emergency rescue materials between cities can promote knowledge-sharing level, thereby improving emergency management performance level.

This study has great significance for how to build cross-city emergency management collaboration mechanism in the digital era. In the future, the authors need to further discuss the following two aspects in depth: research on the impact of cross-city emergency management collaboration mechanism on improving the knowledge management capabilities of government emergency management departments; and research on the impact mechanism of knowledge management capabilities on city resilience.

Through case analysis of cross-city emergency management collaborative rescue for major emergencies in China in recent years, this study proposes three specific strategies for cross-city emergency management (smooth, integration and linkage mechanisms) and reveals that these three strategies are essentially aimed at improving the government’s knowledge management level.

Due to the nonrenewable nature of most geoheritage sites, restoration and reconstruction can be extremely difficult or even impossible. The purpose of this study is to create a model for the management of geoheritage conservation and vulnerability.

To develop the initial research model, two steps were taken. First, a systematic review of previous literature was conducted. Second, experts were asked to provide their input through semistructured and structured questionnaires. The statistical population of the research included experts and researchers in geoheritage. To analyze the data, the methods of meta-synthesis, thematic analysis and contextual analysis panels were used.

Based on research findings, a model for the management of geoheritage conservation and vulnerability has been developed. This model focuses on two key variables vulnerability and intervention, and it is based on three approaches: value-led conservation, preventive conservation and value-led management. The vulnerability variable has two dimensions: antecedents and drivers, while the intervention variable includes a management process with six dimensions: transparency, inclusion, institutionalization, communication, implementation and efficiency.

The management model for geoheritage conservation and vulnerability suggests that if the level of vulnerability of geological values can be controlled or reduced through management interventions, it is possible to achieve geoheritage conservation in three levels: physical, functional and visual.

由于大多数地质遗迹具有不可再生性, 修复和重建可能极其困难甚至不可能。当前的研究旨在创建地质遗迹保护和脆弱性的管理模型。

为了开发初始研究模型, 采取了两个步骤。首先, 对以前的文献进行了系统回顾。其次, 要求专家通过半结构化和结构化问卷提供意见。研究的统计人群包括地质遗迹专家和研究人员。为了分析数据, 使用了综合综合、主题分析和背景分析小组的方法。

根据研究结果, 开发了地质遗迹保护和脆弱性的管理模型。该模型侧重于两个关键变量：脆弱性和干预, 并基于三种方法：价值主导的保护、预防性保护和价值主导的管理。脆弱性变量有两个维度：前因和驱动因素, 而干预变量包括一个管理过程, 该过程有六个维度：透明度、包容性、制度化、沟通、实施和效率。

地质遗产保护和脆弱性的管理模型表明, 如果可以通过管理干预来控制或降低地质价值的脆弱性水平, 那么就有可能在物理、功能和视觉三个层面实现地质遗产保护。

Debido a la naturaleza no renovable de la mayoría de los sitios del geopatrimonio, la restauración y reconstrucción pueden ser extremadamente difíciles o incluso imposibles. La presente investigación se llevó a cabo para crear un modelo de gestión de la conservación y la vulnerabilidad del geopatrimonio.

Para desarrollar el modelo de investigación inicial, se siguieron dos pasos. En primer lugar, se realizó una revisión sistemática de la bibliografía anterior. En segundo lugar, se solicitó la opinión de expertos mediante cuestionarios semiestructurados y estructurados. La población estadística de la investigación incluía expertos e investigadores en geopatrimonio. Para analizar los datos se utilizaron los métodos de metasíntesis, análisis temático y panel de análisis contextual.

A partir de los resultados de la investigación, se ha desarrollado un modelo para la gestión de la conservación y la vulnerabilidad del geopatrimonio. Este modelo se centra en dos variables clave: la vulnerabilidad y la intervención, y se basa en tres enfoques: la conservación basada en el valor, la conservación preventiva y la gestión basada en el valor. La variable de vulnerabilidad tiene dos dimensiones: antecedentes e impulsores, mientras que la variable de intervención incluye un proceso de gestión con seis dimensiones: transparencia, inclusión, institucionalización, comunicación, aplicación y eficacia.

El modelo de gestión de la conservación y la vulnerabilidad del geopatrimonio sugiere que si el nivel de vulnerabilidad de los valores geológicos puede controlarse o reducirse mediante intervenciones de gestión, es posible lograr la conservación del geopatrimonio en tres niveles: físico, funcional y visual.

The purpose of this study to brought new dimensions by inserting market conditions and investor sentiments as independent variable measure their impact on government policy formulation and sustainable development. This research also measures the moderating effective stakeholder engagement. Previous research has focused on demystifying the relationship between green bonds and sustainable development.

The analysis part of the research is initiated by factor analysis on the sample size of 100. After the construction of appropriate statements matching the research objective, it was circulated to the respondents of northern region of India. The sampling technique was random in nature through which data analysis on 700 respondents was done. For meeting research objectives present research applies PLS algorithm on the conceptual model framed through review of literature.

Out of all independent variables green bond issuance is having statistically significant impact on government policy formulation and investors’ sentiment is having statistically significant impact on sustainable development. Rest all other pairs are statistically insignificant. For an investor, it is necessary to understand that how its sentiments impacts government policy formulation and the health of ecology.

The research produced results with management implications for practitioners and policy makers that are very significant to the fields of sustainability, green finance and environmental policy. Green bonds also influence government policy, illustrating how green financing may revolutionize environmental laws and regulations.

The social implications of this revelation are considerable. The research enhances knowledge about sustainable development by emphasizing the importance of green bonds in supporting environmentally friendly activities. It allows for transparent reporting, increasing social accountability and reputation while attracting environmentally conscious consumers and fostering community trust. According to the survey, investor sentiment and their enthusiasm for eco-friendly investments may push more money to efforts that are good for society and the environment. This study enhances consciousness about sustainable finance, which has the potential to inspire beneficial social shifts towards a more environmentally and socially equitable future.

These social ramifications manifest themselves in various socioeconomic and environmental issues of the society in addition to credit and public policy. Second, it is evident that green bond emissions are influencing government policy, demonstrating the power of financial instruments to encourage environmentally beneficial social outcomes by providing officials with an incentive to modify environmental regulations.

With growing global emphasis on sustainability, environmental, social and governance (ESG) and corporate social responsibility (CSR) has become a key focus for businesses striving to balance profit with social and environmental responsibility. The purpose of this study is to analyze the publication trends, influential sources, authors and countries on ESG literature as well as highlighting future research themes and directions in ESG and CSR domain.

This study examined 783 documents published between 2008 and 2024 from two major databases including Scopus and Web of Science by using Biblioshiny (R Studio) and VOSviewer for thematic analysis and network cluster analysis, respectively.

The findings demonstrate significant growth in ESG and CSR research, with an upward publication metrics and citation rates. The highest numbers of publications are from developed countries such as USA, China and UK and key journals include Finance Research Letters and Journal of Sustainable Finance and Investment. The cluster analyses identified five key clusters: Transforming Responsible Investing into ESG Investment, Nexus of ESG Practices, Financial Outcomes and Stakeholder Engagement, Aligning ESG Practices with Technological Innovation, Governance and Ethics in Sustainability: CSR-Driven Reporting Practices and ESG Integration and Financial Sustainability.

This study delineates a comprehensive bibliometric analysis by using a unique diverse keyword search strategy to encompass various aspects of ESG literature and filling gaps in previous studies that relied on limited databases and search query.

The purpose of this paper is to investigate the impact of top management team (TMT) stability on firm internationalization speed, identifying the mediating role of corporate social responsibility (CSR) and moderating the role of institutional distance.

Based on a sample of Chinese companies from 2005 to 2020. This article used ordinary least squares to empirically test the impact of TMT stability on firm internationalization speed.

Our main findings show that the more stable the TMT, the faster the internationalization speed of the enterprise. CSR mediates the influence of the TMT stability and firm internationalization speed, that is, the stable TMT is more willing to make decisions to assume more CSR based on the long-term sustainable development of the enterprise, thus influencing the firm internationalization speed. The greater institutional distance between the home country and the host country, the stronger the positive impacts of CSR on the firm internationalization speed.

This paper is of reference significance for enterprises to rationally formulate corporate internationalization strategies. We call on multinational enterprises (MNEs) to pay more attention to the TMT stability and the important role of CSR in the internationalization of enterprises in emerging economies.