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Linguists classify the world’s languages into two types: futured and futureless. Futured languages (e.g. French) require speakers to grammatically mark future events, a construction that is optional in futureless languages such as German. This treatise examines whether the grammatical structure of the predominant language in a given country explains firms’ propensity to engage in controversial marketing and environmental management practices. This is expected to happen because a speaker’s future time perspective and temporal discounting vary depending on the type of language used.

The sample period for this research was from 2001 to 2020. The sample of the study consists of 5,275 firms representing 47 countries. The sample is comprised of firms from 29 countries where the predominant language is a strong future time reference (FTR) language and 18 countries with a weak-FTR language. The maximum number of firm-country-year observations of the study was 39,956. This study employed multi-level mixed effects modelling as well as other relevant estimation techniques such as random effect panel regression, ordinary least square regression and two-stage least square regression.

This research empirically demonstrates that firms based in countries where the predominant language requires speakers to grammatically differentiate between the present and the future – known as strong-FTR or futured languages – engage more often in controversial marketing- and environment-related practices than those located in countries where the predominant language does not necessarily require grammatical differentiation between the present and the future (known as weak-FTR or futureless languages).

The findings are important for managers of firms with foreign subsidiary operations: top management teams of such firms need to be aware that their foreign subsidiaries’ propensity to engage in controversial marketing and environmental management practices varies depending on the predominant language those subsidiaries use. Also, firms located in countries with weak-FTR languages need to be more rigorous in their selection process when considering forming a joint venture or acquiring a firm in countries with strong-FTR languages.

The current research enriches the burgeoning body of literature on the effect of language on corporate decision-making. It extends the body of knowledge on the impact of language structure on firms’ inclination to engage in controversial marketing and environmental management practices.

Recent trends have shown the integration of Chinese word segmentation (CWS) and part-of-speech (POS) tagging to enhance syntactic and semantic parsing. However, the potential utility of hierarchical and structural information in these tasks remains underexplored. This study aims to leverage multiple external knowledge sources (e.g. syntactic and semantic features, lexicons) through various modules for the joint task.

We introduce a novel learning framework for the joint CWS and POS tagging task, utilizing graph convolutional networks (GCNs) to encode syntactic structure and semantic features. The framework also incorporates a pre-defined lexicon through a lexicon attention module. We evaluate our model on a range of public corpora, including CTB5, PKU and UD, the novel ZX dataset and the comprehensive CTB9 dataset.

Experimental results on these benchmark corpora demonstrate the effectiveness of our model in improving the performance of the joint task. Notably, we find that syntax information significantly enhances performance, while lexicon information helps mitigate the issue of out-of-vocabulary (OOV) words.

This study introduces a comprehensive approach to the joint CWS and POS tagging task by combining multiple features. Moreover, the proposed framework offers potential adaptability to other sequence labeling tasks, such as named entity recognition (NER).

This study aims to explore whether and how the two potential antecedents (i.e. relationship quality at the dyadic level and network density at the network level) affect firms’ internet-interactive capability (FIIC), referring to the capability of a specific firm to communicate and interact with the relevant partner firms on the basis of internet-interactive technologies in the internet environment and, at the same time, the following influence of FIIC on collaborative activities (i.e. joint planning and joint problem-solving).

This study designed a questionnaire and collected data on-site from 400 manufacturers. SmartPLS is used to validate the research model.

The results suggest that the dyadic relationship quality and network density of the partner group are both positively connected with a firm’s FIIC. Besides, FIIC is positively related to collaborative activities with its partners.

Given the nature of our data (i.e. cross-sectional), the authors can collect longitudinal or experimental data to retest the hypotheses.

This study gives certain guidance for firms to be aware of the factors that motivate FIIC and use their FIIC to influence their employees’ collaborative activities in their relationships with partners, thereby promoting cooperation performance.

This study attempts to extend the resource-based theory based on the logic of motivation-capability by exploring the potential antecedents of FIIC and makes contributions to the current studies on the antecedents of FIIC, which provides actionable insights for firms to play the role of FIIC in interfirm interactions.

As the demand for human–robot collaboration in manufacturing applications grows, the necessity for collision detection functions in robots becomes increasingly paramount for safety. Hence, this paper aims to improve the existing method to achieve efficient, accurate and sensitive robot collision detection.

The external torque is estimated by momentum observers based on the robot dynamics model. Because the state of the joints is more accessible to distinguish under the action of the suppression operator proposed in this paper, the mutated external torque caused by joint reversal can be accurately attenuated. Finally, time series analysis (TSA) methods can continuously generate dynamic thresholds based on external torques.

Compared with the collision detection method based only on TSA, the invalid time of the proposed method is less during joint reversal. Although the soft-collision detection accuracy of this method is lower than that of the symmetric threshold method, it is superior in terms of detection delay and has a higher hard-collision detection accuracy.

Owing to the mutated external torque caused by joint reversal, which seriously affects the stability of time series models, the collision detection method based only on TSA cannot detect continuously. The consequences are disastrous if the robot collides with people or the environment during joint reversal. After multiple experimental verifications, the proposed method still exhibits detection capabilities during joint reversal and can implement real-time collision detection. Therefore, it is suitable for various engineering applications.

This paper explores some of the recent developments and transformations in Africa's higher education.

It employs an extensive review of literature based on some dominant thematic areas characterizing the main trends and developments in Africa's higher education.

The paper mainly highlights the impacts of academic partnerships on these transformations, with a focus on research, postgraduate training, mobility and some new intra-African initiatives. Following the unprecedented effects of the COVID-19 pandemic, digitalization comes out as an important turning point for Africa's higher education, which should be exploited for more opportunities. The paper calls for collaborative efforts to address the challenges facing Africa's higher education for the repositioning of Africa as a meaningful player in the unfolding global knowledge society.

The outcomes could be useful to researchers focused on international education, policymakers and higher education leaders and international development partners working on higher education in Africa. It could also be useful for structuring future collaborations between Africa and other regions of the world.

The paper calls for enhanced and mutually beneficial collaborations and disruption of the imbalances that have characterised North–South collaborations. It proposes some possible approaches and alternatives that could be used for redress.

The paper is original and relies on some of the new developments in Africa, including the impacts of COVID-19 and digitalization on the future of higher education collaborations with Africa.

Hydraulic slide valve failure often results from competing failure modes, termed competitive failure. To enhance prediction accuracy for hydraulic slide valve remaining useful life, the authors propose a method incorporating competitive failure and Monte Carlo simulation. This method allows for more accurate prediction of hydraulic slide valve remaining useful life.

In this paper, the competitive failure mode of the hydraulic slide valve is analyzed by studying the two failure modes of the hydraulic slide valve, and the prediction of the remaining useful life of the hydraulic slide valve is studied by using the sample set generated by Monte Carlo simulation and the competitive failure joint model.

The results show that the proposed prediction method based on competitive failure and Monte Carlo simulation is more accurate than the traditional Bayesian joint model prediction method when dealing with the failure mode competition phenomenon of hydraulic slide valve.

In this paper, the remaining useful life prediction of hydraulic slide valve with competitive failure characteristics is studied, which provides a new idea for the remaining useful life prediction method.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2023-0361/

This study aims to examine the role relational dynamics, grounded in the theories of social exchange and social capital, play within the context of geographic indication (GI) food supply chain network (FSCN) performance.

A total of 30 qualitative interviews were undertaken with key informant stakeholders across a variety of organizations within Turkish GI FSCNs. An open, axial and selective grounded theory coding process was used for the analysis, teasing out critical themes that underpinned the conceptual framework.

The findings identify the formal and informal mechanisms which govern GI FSCNs. These two forms of governance mechanisms influence network performance, which was found to comprise logistics, production, business and socio-economic performance dimensions. Transparency, GI traceability, trust and psychological contract violations were found to mediate the link between governance and network performance outcomes.

To the best of the authors’ knowledge, this study is the first to explore GI FSCNs from the perspective of relationship marketing and through the lens of social exchange and social capital theory. Accordingly, both academics and practitioners can benefit from the study, as it unveils relevant relational factors underpinning such networks.

The purpose of this study is to explore how past and future temporal focus of CEOs in the hospitality industry influence their intention to invest in metaverse technology and the underlying mechanism under boundary conditions of perceived competitive pressure.

This multi-informant study collected data over three waves from a sample of 235 CEOs and their subordinates in India’s hospitality industry. A PLS-SEM was applied to the study data. Further, the study also used phenomenological interviews to capture CEOs’ perspectives on the study’s conceptual model.

Findings suggest that the past temporal focus of CEOs decreases technology orientation, and future temporal focus increases the technology orientation of firms, consequently impacting the intention to invest in the metaverse. CEOs’ perceived competitive pressure moderates the mediating relationship, such that the negative impact of past temporal focus on technology orientation is decreased and that of future temporal focus on the CEO is increased.

By exploring the role of a CEO’s past and future temporal focus on influencing technology orientation and, hence, adoption of new technology, the study extends upper-echelon theory to the field of metaverse adoption in the hospitality industry and responds to scholars’ calls to explore the industry’s technology adoption from the lens of the upper echelon.

The study has significant implications for the success of the adoption of metaverse technology in the hospitality industry. Findings imply that the board members should encourage CEOs to have future temporal focus.

The study provides novel insights into the adoption of metaverse technology by the hospitality industry, where CEO attributes such as their temporal focus influence intention to invest in metaverse.

This research seeks to highlight school partnerships as an approach to improving schools and halting the deterioration of their performance in an environment that has suffered from the consequences of conflict for more than a decade.

The research used the qualitative method, and the data were collected through semi-structured interviews with 20 school leaders and teachers.

The results showed the presence of positive attitudes toward inter-school partnerships and their perception of many benefits, the most prominent of which was increasing social cohesion in school and surrounding communities that suffer from divisions resulting from conflict. A set of obstacles includes legislative obstacles, a low degree of autonomy, low competency of school leaders, a lack of trust and incentives.

This study proposes a range of solutions to address the challenges associated with building partnerships. The research emphasizes the significance the school-to-school partnerships and their positive role in improving the performance of schools in developing countries, especially in environments suffering from the consequences of civil wars and social divisions.

A major obstacle regarding the measurement of an organization's sustainability and accountability in the space economy is defining the context and boundaries of commercial activity in outer space. Here, we introduce an ecosystem framework to address this obstacle. We utilize this framework to analyze the space mining sector. Our ecosystem framework sets the space mining sector's boundaries and helps a firm identify key stakeholders, activities, policies, norms and common pool resources in that sector and the interactions between them; a significant step in structuring how to measure space sustainability and accountability.

Borrowing theories and perspectives from a wide range of academic fields, this paper conducts a comprehensive context analysis of the space mining ecosystem.

Using our ecosystem framework to define the context and set boundaries for the space mining sector allowed us to identify sustainability-related issues in the sector and offer roadmaps to develop sustainability measures and standards.

To the best of the authors’ knowledge, this is one of the first papers to introduce a framework to define boundaries in the global space economy and provides a tool to understand, measure and evaluate the space mining sector's environmental, social and economic issues.