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This study aims to investigate the efforts and role of technology leaders in achieving organizational commitment to sustainability through mediating the role of green HRM practices and moderating the role of green knowledge sharing.

This empirical research study is based on two theories: upper echelon theory and social capital theory, in which data were collected from 284 permanent faculty employees belonging to the government, semi-government and private HEIs recognized universities of Pakistan.

The results confirm that the technology leadership style has a significant impact on organizational commitment to sustainability. Whereas green HRM practices as a mediator and green knowledge-sharing behavior as a moderator have also significant impacts on the organizational commitment to sustainability.

This study integrates the concept of technology leadership as a strategy and green HRM practices as a process that jointly impacts organizational commitment to sustainability.

This paper explores the patterns of the current needs of users' social characteristics in post occupancy evaluation (POE) associated with the environmental performance of green buildings using systematic literature review (SLR). This paper aims to establish a conceptual nexus between environmental performance mandates and the current needs of the users' social characteristics.

This paper adopts a SLR approach designed using Preferred Reporting Items for Systematic Reviews and Meta-Analyses for 21 articles that were selected as qualitative synthesis in this study. The search parameter for the selected articles in this review was limited to publications in three databases, Scopus, Web of Science and Emerald, between January 2016 and January 2023, with the help of qualitative software ATLAS.ti 9© in the presentation of the network codes. The initial literature search has retrieved 99 papers which sequentially excluded 42 papers due to exclusion criteria, and the researcher was left with 57 papers. Out of 57, 14 papers were then removed due to duplication of records found in the Scopus and Web of Science databases, and 43 articles were further screened for qualitative synthesis. A thorough critical appraisal was applied to ensure that only selected papers were included, consensus was achieved among the authors and 22 papers were excluded. The qualitative synthesis has finalized 21 studies, and they are selected as confirmative findings.

Using network codes presentation of ATLAS.ti 9©, the result shows that the social characteristics are influenced by the evaluated building category and the users' category – the stakeholders (owners, designers) and the occupants. New-fangled elements in environmental performance mandates are legitimacy and accessibility. The users’ social characteristics are derived from the category of users, where the stakeholders (designers, owners) are relatively a novel benchmark in meeting the POE objectives towards environmental performance. The least attention on the users’ social characteristics based on the findings shows that image, experiential (conjoint), happiness, interactive behaviour, morale and values are depicted as the social current needs in the environmental performance using POE. However, all stakeholders and the building occupants’ social characteristics must have a confirmative relation to the performance mandates, especially for newly performance mandates elements: legitimacy and accessibility.

The research limits the literature search between the recent January 2016 and January 2023 in Scopus, Web of Science and Emerald databases. Limiting the year of publication to the recent years is important to select and rank relevant scientific papers which encompass the reviewed subject. Other limitations include the selection of papers focusing on the POE approach and environmental performance as the main subject of evaluation. Other evaluation purposes that are not related to environmental objectives are excluded in this study.

The characteristics of the social elements become a challenging subject in meeting the environmental performance needs as they lean more towards intangible elements. The novelty of the findings is drawn from the new pattern and current needs of users' social characteristics in POE for environmental performance.

Parallelogram linkages are used to increase the stiffness of manipulators and allow precise control of end-effectors. They help maintain the orientation of connected links when the manipulator changes its position. They are implemented in many palletizing robots connected with binary, ternary and quaternary links through both active and passive joints. This limits the motion of some joints and hence results in relative and negative joint angles when assigning coordinate axes. This study aims to provide a simplified accurate model for manipulators built with parllelogram linkages to ease the kinematics calculations.

This study introduces a simplified model, replacing each parallelogram linkage with a single (binary) link with an active and a passive joint at the ends. This replacement facilitates countering motion while preserving subsequent link orientations. Validation of kinematics is performed on palletizing manipulators from five different OEMs. The validation of Dobot Magician and ABB IRB1410 was carried out in real time and in their control software. Other robots from ABB, Yaskawa, Kuka and Fanuc were validated using control environments and simulators.

The proposed model enables the straightforward derivation of forward kinematics and transforms hybrid robots into equivalent serial-link robots. The model demonstrates high accuracy streamlining the derivation of kinematics.

The proposed model facilitates the use of classical methods like the Denavit–Hartenberg procedure with ease. It not only simplifies kinematics derivation but it also helps in robot control and motion planning within the workspace. The approach can also be implemented to simplify the parallelogram linkages of robots with higher degrees of freedom such as the IRB1410.

The purpose of this study was to explore the potential benefits of Coriandrum sativum (C. sativum) on anxiety, depression, sleep quality and memory among students.

This randomized controlled trial involved university students aged 18–25 years, who had no known allergies to C. sativum or were using psychotropic medication. After giving informed consent, participants were randomly assigned using a computer-generated random sequence to either 500 mg C. sativum seeds or a placebo. Primary outcomes measured changes in memory (prospective and retrospective memory questionnaire [PRMQ]), anxiety and depression (Hospital Anxiety and Depression Scale), while secondary outcomes assessed sleep quality (Pittsburgh sleep quality inventory [PSQI]).

A sample of 86 students with a mean age of 20.05 ± 1.6 years was selected for the study. Initial assessments ensured no significant differences in demographic or study variables between the control and intervention groups. Statistical analysis revealed significant improvements in memory (PRMQ: p = 0.006), anxiety (Hospital Anxiety Scale: p = 0.04) and depression (Hospital Depression Scale: p = 0.002), as well as in sleep quality (PSQI: p = 0.03) in the group receiving C. sativum compared to the control group.

This research offers initial insights into the potential benefits of C. sativum intake, specifically its role in enhancing memory performance and mitigating anxiety among student populations. The results present a compelling case for further research in this domain to solidify these preliminary conclusions.

The purpose of the study would typically involve investigating how the ongoing COVID-19 pandemic has impacted the learning abilities of university students. The study could encompass various factors that may influence students' ability to learn, such as their academic performance, motivation, engagement, mental health, access to resources and learning environment.

1. A cross-sectional design, collecting data at a specific point in time to capture the impact of the COVID-19 pandemic on students' learning abilities. 2. A structured questionnaire will be developed based on relevant literature and research objectives. 3. The questionnaire could be administered to the targeted sample of university students through online surveys, email or other appropriate methods. 4. Descriptive statistics could be used to summarize the demographic characteristics and other relevant variables of the sample. Factor analysis could be performed to identify underlying factors. The Mann–Whitney test, a non-parametric test, could be used to compare the differences between groups.

The results of the data analysis would be interpreted and discussed in the context of the research objectives and relevant literature. The findings could provide insights into the factors that significantly affect learning abilities during the COVID-19 pandemic and highlight any differences among groups. Limitations of the study, such as sample size or potential biases, would also be discussed.

The study would provide a comprehensive overview of the impact of the COVID-19 pandemic on university students' learning abilities, highlight the existing literature in the field and establish the need for further research to investigate the factors influencing students' learning abilities during the pandemic. The study can provide a solid framework for similar studies.

Drawing on the conservation of resources (COR) theory, this study aims to examine the effects of servant leadership and despotic leadership on employees’ happiness at work (HAW) through job crafting.

To test the hypothesized relationships, the data were collected from 309 Pakistani employees. Structural equation modeling was used to analyze the data.

The findings showed that servant leadership is an optimal leadership style for creating employees’ HAW. In addition, job crafting was found to mediate the effects of servant leadership on employees’ broad-based positive attitudinal outcome (HAW). Moreover, results showed that despotic leadership negatively influences employees’ HAW through job crafting.

This study is novel as it investigates how newer forms of positive (servant) and negative (despotic) leadership styles influence employees’ multidimensional attitudinal outcome (HAW) via job crafting. By doing so, this research extends the nomological network of servant leadership, despotic leadership, job crafting and HAW.

Previous studies described the professional zakat had been limited. Generally, the past authors conducted a quantitative method with general results and did not focus on the behaviour of people who pay the professional zakat. As a result, the purpose of this study is to provide a comprehensive understanding of how the general public can pay their zakat using Bloom’s theory.

This research uses primary data with in-depth interviews from five informants, including civil servants (PNS) and private employees. Spiral analysis was used to analyse the data, arrange it, read it frequently, take brief notes, find categories, interpret and summarise it.

The results show Bloom’s theory can accommodate muzakki’s behaviour by paying professional zakat. It can be seen from the following conclusions: firstly, in the cognitive domain, muzakki’s behaviour of paying the professional zakat was motivated by their memories (experiences), the ability to interpret, the ability to understand the principles of zakat, the ability to understand the relations and the ability to understand the role of zakat from its norms. Secondly, in the affective domain, muzakki’s behaviour in paying the professional zakat was motivated by their ability to receive, give positive value, call others and dare to take risks. Thirdly, in the psychomotor domain, guided practice, mechanised practice and adoption drive muzakki’s behaviour of paying zakat.

This study has limitations regarding the number of samples (informants). In addition, the results of the research are designed to be very subjective so that they cannot be generalised to phenomena that exist in other places and countries that also require zakat in the profession. In the future, the results of this study can be used as a variable development with quantitative methods so that it can involve more samples to get maximum and a broader result.

This research has a valuable managerial impact on the zakat management institutions, particularly in Langsa, Aceh, Indonesia and all zakat institutions worldwide. Therefore, the central government can evaluate the zakat gap through various socialisation activities by promoting the cognitive, affective and psychomotor domains. Socialisation should improve people’s behaviour to pay zakat so that the amount of zakat collected will be higher and will reduce the gap between the potency of zakat and the zakat in reality which has been unequal so far.

This research will contribute to the significant development of zakat in terms of studying the behaviour of muzakki paying the professional zakat. Although the theory of planned behaviour was dominated by previous research, this research reveals other aspects of muzakki behaviour using Bloom’s model by elaborating on cognitive, affective and psychomotor domains.

Recent United Nations Climate Change Conferences recognise extreme climate change of heatwaves, floods and droughts as threatening risks to the resilience and success of public–private partnership (PPP) infrastructure projects. Such conferences together with available project reports and empirical studies recommend project managers and practitioners to adopt smart technologies and develop robust measures to tackle climate risk exposure. Comparatively, artificial intelligence (AI) risk management tools are better to mitigate climate risk, but it has been inadequately explored in the PPP sector. Thus, this study aims to explore the tools and roles of AI in climate risk management of PPP infrastructure projects.

Systematically, this study compiles and analyses 36 peer-reviewed journal articles sourced from Scopus, Web of Science, Google Scholar and PubMed.

The results demonstrate deep learning, building information modelling, robotic automations, remote sensors and fuzzy logic as major key AI-based risk models (tools) for PPP infrastructures. The roles of AI in climate risk management of PPPs include risk detection, analysis, controls and prediction.

For researchers, the findings provide relevant guide for further investigations into AI and climate risks within the PPP research domain.

This article highlights the AI tools in mitigating climate crisis in PPP infrastructure management.

This article provides strong arguments for the utilisation of AI in understanding and managing numerous challenges related to climate change in PPP infrastructure projects.

This study aims to explore the key challenges and drawbacks of smart contracts (SCs) and how they impact digital resilience within small and medium enterprises (SMEs). Whilst this type of technology is seen as a step forward in terms of traceability, transparency and immutability to increase digital resilience, we argue that it should be approached with trepidation.

In developing this paper, the authors conduct a systematic literature search using the Scopus database. Through this, we identified 931 relevant articles, of which 30 were used as the focus of this article. Thematic analysis was used as the analytical approach to develop themes and meaning from the data.

In this paper, there is an emphasis on the importance of understanding the potential risks associated with SC implementation, as well as identifying appropriate strategies for mitigating any negative impact. In our findings, we puts forward three key themes, namely legality, security and human error, which we argue are key smart contract challenges that impact SME digital resilience.

In this paper, we propose the notion of “centralised control in decentralised solutions”. This comes from the research highlighting SC weaknesses in digital resilience for SMEs. We argue that there is a need for standards, regulations and legislation to address these issues, advocating, ironically, a centralised approach to decentralised technology.

To do this, the authors carried out a systematic literature review to answer three questions: (RQ1) Which external pressures affect an FC and its suppliers in an MSC? (RQ2) What influences power relationships between an FC and its suppliers for MSC compliance? and (RQ3) Which governance mechanisms support an FC to achieve compliance for managing its MSC?

This research aims to identify how external pressures affect chain agents to achieve compliance and implement governance mechanisms and analyzes the influence of the power relationship between FC and their suppliers.

The results identify how external pressures from different stakeholders act on FC and FT and ST suppliers. A combination of contractual governance mechanisms (auditing, certification, assessment, code of conduct and monitoring) with relational ones (third-party, cooperation) is identified, facilitating compliance between agents. Furthermore, different power relationships (power position, level of resources and institutional distance) that influence the implementation of governance mechanisms are explored.

This article comprised only a systematic literature review and content analysis. Carrying out empirical research, covering the theme of this article, is the next step, which is being completed and will be discussed in due course in another publication.

The results can help professionals of the FC to understand their role in multi-tier supply chain (MSC), the external pressures exerted and the governance mechanisms that can be implemented to achieve compliance.

This article develops three relevant issues constantly addressed in MSC, which have not yet been combined to understand the management of multi-tier suppliers.