The author develops and extends the asymptotic F- and t-test theory in linear regression models where the regressors could be deterministic trends, unit-root processes…
Abstract
The author develops and extends the asymptotic F- and t-test theory in linear regression models where the regressors could be deterministic trends, unit-root processes, near-unit-root processes, among others. The author considers both the exogenous case where the regressors and the regression error are independent and the endogenous case where they are correlated. In the former case, the author designs a new set of basis functions that are invariant to the parameter estimation uncertainty and uses them to construct a new series long-run variance estimator. The author shows that the F-test version of the Wald statistic and the t-statistic are asymptotically F and t distributed, respectively. In the latter case, the author shows that the asymptotic F and t theory is still possible, but one has to develop it in a pseudo-frequency domain. The F and t approximations are more accurate than the more commonly used chi-squared and normal approximations. The resulting F and t tests are also easy to implement – they can be implemented in exactly the same way as the F and t tests in a classical normal linear regression.
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Xiaoting Guo, Changku Sun, Peng Wang and Lu Huang
This paper aims to propose a hybrid method based on polynomial fitting bias self-compensation, grey forward-backward linear prediction (GFBLP) and moving average filter (MAF) for…
Abstract
Purpose
This paper aims to propose a hybrid method based on polynomial fitting bias self-compensation, grey forward-backward linear prediction (GFBLP) and moving average filter (MAF) for error compensation in micro-electromechanical system gyroscope signal especially under motion state.
Design/methodology/approach
The error compensation can be divided into two processes: bias correction and noise reduction. A polynomial drift angle fitting algorithm is used to correct bias before denoising processing. For noise reduction, operation can be taken in two stages: detection and processing. First, sample variances are used to judge motion state. According to the detection results, algorithmic system switches between grey GFBLP and MAF to ensure fast convergence rate and small steady-state error.
Findings
Experimental results show that the proposed method can correct bias effectively for practical gyroscope signal, and can eliminate noise effectively for both practical gyroscope signal and synthetic signal, which indicates the effectiveness of the proposed method.
Originality/value
Bias correction and noise reduction are considerations. Noise contained in practical or synthetic signal can be reduced rapidly and effectively, which benefits from the new idea of combination grey GFBLP, MAF and sample variances. And most importantly, it is applicable for signal denoising under arbitrary motion state condition, which is different from other methods where the convergence performance is seldom analyzed.
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Yin Ma and Dawn Bennett
With a focus on Chinese higher education students, the purpose of this study was to explore the relationship between students' perceived employability and their levels of academic…
Abstract
Purpose
With a focus on Chinese higher education students, the purpose of this study was to explore the relationship between students' perceived employability and their levels of academic engagement and stress.
Design/methodology/approach
The study engaged 1,155 students from three universities in China. Students responded to an online survey, reporting their confidence in relation to their perceived employability, academic engagement and stress in life. The authors employed structural equation modelling to explore students' confidence in each employability attribute and to assess perceived employability relation to academic engagement and perceived stress.
Findings
The results suggest that self-perceptions of employability are positively associated with students' academic engagement and negatively associated with perceived stress. Perceived employability mediated the majority paths.
Originality/value
This is one of the few studies to examine perceived employability in line with academic engagement or stress and the first study to do so in China.
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Guo Sun, Inusah Sulemana and Andrew Osei Agyemang
The study aims to investigate the influence of stakeholder pressure on sustainability practices via the mediating effect of green innovation (GI) from a developing economy in…
Abstract
Purpose
The study aims to investigate the influence of stakeholder pressure on sustainability practices via the mediating effect of green innovation (GI) from a developing economy in Sub-Saharan Africa (SSA).
Design/methodology/approach
The study used primary data from 567 respondents in manufacturing and mining firms in Ghana to conduct the Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis using Smart-PLS, Version 4.0. Data was gathered using survey questionnaire. A purposive sampling method was used to choose participants' companies.
Findings
The findings revealed that shareholder and government pressure significantly and positively influence sustainability practices, while pressure from the community has an insignificant beneficial impact on sustainability practices. Consumer pressure revealed an insignificant detrimental influence on sustainability practices. The study discovered that green innovation fully and substantially mediates the association between stakeholder pressure and sustainability practices.
Research limitations/implications
The study has limitations, including the exclusion of control variables and its focus on four different stakeholders, excluding other stakeholders that who also impact sustainability practices.
Practical implications
The study’s findings can assist Ghanaian companies in making strategic decisions to enhance corporate reputation, acknowledging the effect of stakeholder pressure on sustainability practices.
Social implications
The study outcome may enable companies to implement more inclusive sustainable development initiatives, benefiting their bottom line while contributing to the well-being of local communities and the environment.
Originality/value
The study’s originality stems from integrating green innovation in examining stakeholders' influence and sustainability practices of firms, a gap that remained unexplored. It highlights the essence of green innovation in shaping a company’s sustainability practices, highlighting the need for businesses to integrate technology and sustainability in their operations.
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In smart cities striving for innovation, development, and prosperity, hydrogen offers a promising path for decarbonization. However, its effective integration into the evolving…
Abstract
In smart cities striving for innovation, development, and prosperity, hydrogen offers a promising path for decarbonization. However, its effective integration into the evolving energy landscape requires understanding regional intricacies and identifying areas for improvement. This chapter examines hydrogen transport from production to utilization, evaluating technologies’ pros, cons, and process equations and using Analytic Hierarchy Process (AHP) as a Multi-Criteria Decision-Making (MCDM) tool to assess these technologies based on multiple criteria. It also explores barriers and opportunities in hydrogen transport within the 21st-century energy transition, providing insights for overcoming challenges. Evaluation criteria for hydrogen transport technologies were ranked by relative importance, with energy efficiency topping the list, followed by energy density, infrastructure requirements, cost, range, and flexibility. Safety, technological maturity, scalability, and compatibility with existing infrastructure received lower weights. Hydrogen transport technologies were categorized into three performance levels: low, medium, and high. Hydrogen tube trailers ranked lowest, while chemical hydrides, hydrail, liquid organic hydrogen carriers, hydrogen pipelines, and hydrogen blending exhibited moderate performance. Compressed hydrogen gas, liquid hydrogen, ammonia carriers, and hydrogen fueling stations demonstrated the highest performance. The proposed framework is crucial for next-gen smart cities, cutting emissions, boosting growth, and speeding up development with a strong hydrogen infrastructure. This makes the region a sustainable tech leader, improving air quality and well-being. Aligned with Gulf Region goals, it is key for smart cities. Policymakers, industries, and researchers can use these insights to overcome barriers and seize hydrogen transport tech opportunities.
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Rasha Najib Al-Jabali, Norasnita Ahmad and Saleh F.A. Khatib
The purpose of this study is to review the literature on the adoption determinants of mobile health (M-health) applications for health behavior change following a systematic…
Abstract
Purpose
The purpose of this study is to review the literature on the adoption determinants of mobile health (M-health) applications for health behavior change following a systematic methodology.
Design/methodology/approach
This review systematically identified 134 peer-reviewed studies out of 10,687 from Scopus, Web of Science, PubMed and the Association for Computing Machinery (ACM) published between 2010 and 2021. This review used a thematic analysis to produce the main themes conceptualizing a holistic framework of the investigated M-health application adoption factors.
Findings
Despite the exploration of multifaceted adoption determinants and behaviors, the current publications exhibit limitations. The studies not only show a lack of representation of multiple health behaviors and medical conditions but also fail to involve data from low- and middle-developing countries, where M-health application utilization is crucial. Findings revealed that there is a considerable absence of a solid theoretical foundation that unveils a gap in interpreting the adoption factors effectively. Understanding cultural and demographic variances and exploring financial factors and healthcare provider involvement is essential for tailoring M-health application interventions. Continuous assessment of technological factors and evaluation of the actual impact of M-health application usage on behavioral changes and health outcomes will further enhance the effectiveness and adoption of these technologies.
Originality/value
This review is one of the first comprehensive reviews of determinants of M-health application adoption targeting health behavior change for the general public and patients.
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Muthmainnah, Ahmad Al Yakin, Muhammad Massyat, Luís Cardoso and Andi Asrifan
Purpose: This study aims to identify communication speech acts and transaction terms in online stores (Olshop) during live streaming on Facebook amid the COVID-19 pandemic and to…
Abstract
Purpose: This study aims to identify communication speech acts and transaction terms in online stores (Olshop) during live streaming on Facebook amid the COVID-19 pandemic and to understand communication patterns between sellers and buyers when shopping on Facebook live streaming in Indonesia.
The Need for Research: This research is motivated by the skill gap arising from increasing buying and selling transactions through live streaming on Facebook. Cultural and demographic shifts, along with the widespread availability of modern technologies and marketing 2.0 have resulted in the global population adopting social media at rates far beyond our use of the Internet, making a compelling case by example and analogy that social media has the potential to level the playing field and is effective in reaching their target market.
Methodology: The type of research is descriptive-qualitative using corpus data instruments. The data collection technique in this study was carried out by reading and observing the data and listening to speeches about buying and selling women’s equipment from various online stores on Facebook. Then select and sort the data designated as forms, strategies, and functions of speech acts in buying and selling transactions during live streaming on Facebook. The data analysis technique has three steps: (1) reducing the amount of data; (2) presenting the data; and (3) concluding.
Findings: The results show that there are four types of speech acts between sellers and buyers in the live-streaming online shop on Facebook, namely, assertive, directive, expressive, and commissive speech acts.
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Vandana Panwar and Satarupa Nayak
Technological innovations have affected and modified practically every element of human life and work. Education is one of the areas that has been greatly influenced by its…
Abstract
Technological innovations have affected and modified practically every element of human life and work. Education is one of the areas that has been greatly influenced by its dynamism. Technology has created an ecosystem in which education can be delivered via e-modes. The objective of this chapter is to study the impact of personalized learning on the student’s concentration level. The research methodology is top-down and includes both primary and secondary data sources. The sample was drawn using a probability-random sampling procedure with a response distribution of 50%, a margin of error of 10%, and a confidence level of 90%. The inquiry was carried out in various Indian states throughout the academic year 2020–2023. A 419-student sample was used in the study, and they were evaluated in two rounds using a pre-tested questionnaire. The association was determined for the experiencing group utilizing SPSS Version 25 and the analytic methods of factor analysis. This chapter presents options for higher education institutions, governments, and regulators to embrace and adapt. We are convinced that the study’s various recommendations will contribute to the development of a long-term strategy and plan to achieve the aim of ‘education for all, work for all’. The study investigates how the existing education model might adapt in the near future to keep up with the shifting paradigm and the arrival of Education 5.0.
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Shikha Agnihotri, Rekha Mewafarosh and Shivani Malhan
Purpose: The prominence of quality education for building sustainable development is undeniable and is distinctly pointed out in 1 of the 14 sustainable development goals (SDGs)…
Abstract
Purpose: The prominence of quality education for building sustainable development is undeniable and is distinctly pointed out in 1 of the 14 sustainable development goals (SDGs). In the same context, this study intends to investigate the role of university commitment, perceived organisational prestige, student satisfaction, and perceived employability in enhancing sustainability in higher education.
Need of the Study: To evaluate how student satisfaction mediates the relationship between university commitment, perceived organisational prestige, and perceived employability with sustainable university institutes.
Methodology: An adapted questionnaire was used in this study to capture the perception of 458 management graduates selected through the purposive sampling method. Partial least squares structural equation modelling (PLS-SEM) technique was used to analyse the data with the help of Smart PLS software.
Findings: The results of this study show that student satisfaction is the strongest predictor of sustainable university institutes. University commitment was found to lead to student satisfaction significantly. Furthermore, student satisfaction wasn’t found to play the role of mediator in the proposed model.
Practical Implications: This study aims to fulfil theoretical, research, and management implications for students, higher education institutes (HEIs), and policymakers. HEIs are recommended to instil university commitment, perceived organisational prestige and student satisfaction via various practices and amendments in their curriculum. Students are recommended to enhance their perceived employability to achieve career sustainability.
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Mohammad Zahedul Alam, Wang Hu, Md Rakibul Hoque and Md Abdul Kaium
The purpose of this paper was to explore the comparative influential factors affecting the behavioral intention and actual usage of mHealth services in two distinct national…
Abstract
Purpose
The purpose of this paper was to explore the comparative influential factors affecting the behavioral intention and actual usage of mHealth services in two distinct national environments, i.e. China and Bangladesh, in relation to the international expansion of mHealth services.
Design/methodology/approach
In this study, widely accepted Unified Theory of Acceptance and Use of Technology (UTAUT) with two additional variables, i.e. Perceived Reliability and Price Value have been selected as a theoretical framework. Primary data were collected from existing mHealth users among generation Y in both China and Bangladesh. A total of 296 and 250 questionnaires were deemed as usable for data analysis for Bangladesh and China, respectively.
Findings
Performance expectancy and social influence had significant impact on the adoption intention of mHealth services for both countries. Effort expectancy and price value were insignificant factors for Bangladesh, whereas facilitating condition and perceived reliability were insignificant for China.
Practical implications
The insights from this study could benefit mHealth services providers and those policymakers who seek to enter the Chinese and the Bangladeshi healthcare market. The dimensions identified in the study are based on a full assessment of mHealth usages experiences. Global service providers can use the dimensions identified by the paper to better assess their service performance on an international level.
Originality/value
The paper is unique in that it is one of the first cross-country examinations of influential factors affecting the adoption of mHealth services in two different countries. This study confirms the applicability of extended UTAUT model in the context of mHealth services among the generation Y in developing countries such as China and Bangladesh.