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1 – 10 of 81Sik Sumaedi, Sumardjo Sumardjo, Amiruddin Saleh and Agus Fanar Syukri
This research aims to test the simultaneous effects of the perceived threat of COVID-19, e-health literacy, e-health access barrier, loyalty toward healthy foods in general…
Abstract
Purpose
This research aims to test the simultaneous effects of the perceived threat of COVID-19, e-health literacy, e-health access barrier, loyalty toward healthy foods in general, loyalty toward functional foods, the affordability of healthy foods in general and the affordability of functional foods on health-related quality of life (HrQoL) during the COVID-19 pandemic.
Design/methodology/approach
A survey with 400 respondents in Banten, Indonesia, was performed. The data were analyzed using multiple regression analysis.
Findings
The results of the research showed that HrQoL during the COVID-19 pandemic was positively affected by e-health literacy and the affordability of healthy foods in general while negatively affected by the e-health access barrier, the perceived threat of COVID-19 and loyalty toward healthy foods in general. Furthermore, HrQoL was not influenced by loyalty toward and affordability of functional foods.
Research limitations/implications
This research was conducted in Banten. Due to the operational limitations during the COVID-19 pandemic, this research used a purposive sampling technique. Therefore, the next research should retest the model in different contexts and locations.
Practical implications
To improve HrQoL during the COVID-19 pandemic, citizens need to be educated on finding and utilizing credible online health information during the COVID-19 pandemic. Governments and health service providers should also strive to offer ease of access to credible online health information. Furthermore, the affordability of healthy foods, in general, should be managed well.
Originality/value
A few studies on HrQoL during COVID-19 pandemic were performed. However, there is a lack of paper that examines the role of food customer loyalty and affordability in a model of HrQoL during the COVID-19 pandemic. To the best of the authors’ knowledge, this paper is the first that involved and tested the role of food customer loyalty and affordability in a model of HrQoL during the COVID-19 pandemic.
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Abstract
Purpose
Coal is a critical global energy source, and fluctuations in its price significantly impact related enterprises' profitability. This study aims to develop a robust model for predicting the coal price index to enhance coal purchase strategies for coal-consuming enterprises and provide crucial information for global carbon emission reduction.
Design/methodology/approach
The proposed coal price forecasting system combines data decomposition, semi-supervised feature engineering, ensemble learning and deep learning. It addresses the challenge of merging low-resolution and high-resolution data by adaptively combining both types of data and filling in missing gaps through interpolation for internal missing data and self-supervision for initiate/terminal missing data. The system employs self-supervised learning to complete the filling of complex missing data.
Findings
The ensemble model, which combines long short-term memory, XGBoost and support vector regression, demonstrated the best prediction performance among the tested models. It exhibited superior accuracy and stability across multiple indices in two datasets, namely the Bohai-Rim steam-coal price index and coal daily settlement price.
Originality/value
The proposed coal price forecasting system stands out as it integrates data decomposition, semi-supervised feature engineering, ensemble learning and deep learning. Moreover, the system pioneers the use of self-supervised learning for filling in complex missing data, contributing to its originality and effectiveness.
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Ping Li, Siew Fan Wong, Shan Wang and Younghoon Chang
This study aims to study the mechanisms and conditions of users' intention to continue to use online health platforms from an information technology (IT) affordance perspective.
Abstract
Purpose
This study aims to study the mechanisms and conditions of users' intention to continue to use online health platforms from an information technology (IT) affordance perspective.
Design/methodology/approach
b This research proposes that a critical affordance effect on an online health platform, users' intention to continue the use of the platform, is affected by five platform affordances via two actualized affordances (i.e. perceived benefits (PBs) and online engagement (OE)). Perceived health threat moderates the effect generated by affordance actualization. A dataset involving 409 users from the “Ping An Health” platform was collected through an online survey and analyzed to validate the research hypotheses.
Findings
The data analysis results confirm that the proposed online health platform affordances affect users' PBs and OE, which influence users' intentions to continue using the platform. Perceived threats (perceived vulnerability (PVU) and perceived severity (PSE)) moderate the relationship between PBs and continuance intention (CI) and between OE and CI.
Practical implications
The research provides important recommendations for online health platform designers to develop IT affordances that can support users' needs for healthcare services.
Originality/value
Limited studies investigated why users continue participating in online diagnosis and treatment. This study provides a new perspective to expand the affordance framework by combining technology features and user health behavior. The study also emphasizes the importance of perceived threats in IT use.
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Yu-Shan Hsu, Yu-Ping Chen, Flora F.T. Chiang and Margaret A. Shaffer
Integrating anxiety and uncertainty management (AUM) theory and theory of organizing, this study aims to contribute to the knowledge management literature by examining the…
Abstract
Purpose
Integrating anxiety and uncertainty management (AUM) theory and theory of organizing, this study aims to contribute to the knowledge management literature by examining the interdependent and bidirectional nature of knowledge transfer between expatriates and host country nationals (HCNs). Specifically, the authors investigate how receivers’ cognitive response to senders’ behaviors during their interactions becomes an important conduit between senders’ behaviors and the successful transfer of knowledge.
Design/methodology/approach
The authors used the actor partner interdependence model to analyze data from 107 expatriate-HCN dyads. The authors collected the responses of these expatriate-HCN dyads in Shanghai, Taipei, Hong Kong, Vietnam, South Korea, Malaysia, Thailand, Indonesia and India.
Findings
Receivers’ interaction anxiety and uncertainty, as a response to senders’ relationship building behaviors, mediate the relationship between senders’ relationship building behaviors and successful knowledge transfer. When senders are expatriates, senders’ communication patience and relationship building behaviors interact to reduce the direct and indirect effects of both receivers’ interaction anxiety and uncertainty. However, when senders are HCNs, the moderation and moderated mediation models are not supported.
Originality/value
The study contributes to the knowledge management literature by investigating knowledge transfer between expatriates and HCNs using an interpersonal cross-cultural communication lens. The authors make refinements to AUM theory by going beyond the sender role to highlighting the interdependence between senders and receivers in the management of anxiety and uncertainty which, in turn, influences the effectiveness of cross-cultural communication. The study is also unique in that the authors underscore an important yet understudied construct, communication patience, in the successful transfer of knowledge.
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Ying-Jie Guan and Yong-Ping Li
To solve the shortcomings of existed search and rescue drones, search and rescue the trapped people trapped in earthquake ruins, underwater and avalanches quickly and accurately…
Abstract
Purpose
To solve the shortcomings of existed search and rescue drones, search and rescue the trapped people trapped in earthquake ruins, underwater and avalanches quickly and accurately, this paper aims to propose a four-axis eight-rotor rescue unmanned aerial vehicle (UAV) which can carry a radar life detector. As the design of propeller is the key to the design of UAV, this paper mainly designs the propeller of the UAV at the present stage.
Design/methodology/approach
Based on the actual working conditions of UAVs, this paper preliminarily estimated the load of UAVs and the diameters of propellers and designed the main parameters of propellers according to the leaf element theory and momentum theory. Based on the low Reynolds number airfoil, this paper selected the airfoil with high lift drag ratio from the commonly used low Reynolds number airfoils. The chord length and twist angle of propeller blades were calculated according to the Wilson method and the maximum wind energy utilization coefficient and were optimized by the Asymptotic exponential function. The aerodynamic characteristics of the designed single propeller and coaxial propeller under different installation pitch angles and different installation distances were analyzed.
Findings
The results showed that the design of coaxial twin propellers can increase the load capacity by about 1.5 times without increasing the propeller diameter. When the installation distance between the two propellers was 8 cm and the tilt angle was 15° counterclockwise, the aerodynamic characteristics of the coaxial propeller were optimal.
Originality/value
The novelty of this work came from the conceptual design of the new rescue UAV and its numerical optimization using the Wilson method combined with the maximum wind energy utilization factor and the exponential function. The aerodynamic characteristics of the common shaft propeller were analyzed under different mounting angles and different mounting distances.
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Rosli Said, Mardhiati Sulaimi, Rohayu Ab Majid, Ainoriza Mohd Aini, Olusegun Olaopin Olanrele and Omokolade Akinsomi
This study aims to address the critical need for innovative financing solutions in the global housing sector, focusing specifically on Malaysia’s distinct housing finance system…
Abstract
Purpose
This study aims to address the critical need for innovative financing solutions in the global housing sector, focusing specifically on Malaysia’s distinct housing finance system encompassing both conventional and Islamic loans. The primary objective is to develop a transformative housing finance model that addresses affordability challenges and reshapes the Malaysian housing landscape.
Design/methodology/approach
The study presents an alternate housing finance model for Malaysia, integrating lower monthly payments and reduced household debt. Key variables include house price appreciation rates, interest rates, initial guarantee fees and loan-to-value ratios. Inspired by the Help to Buy (HTB) scheme, the model aligns with proven global initiatives for enhanced affordability, balancing payment amounts, loan interest rates and acceptable price thresholds.
Findings
The study’s findings promise to address affordability disparities and reshape Malaysia’s housing finance landscape. The emphasis is on introducing a structured repayment plan that offers a sustainable path to homeownership, particularly for low-income families. Incorporating the future value adaptation concept, inspired by reverse mortgages and Islamic finance, enhances adaptability, ensuring long-term sustainability despite economic shifts.
Practical implications
The proposed model promotes widespread access to homeownership, offering practical solutions for policymakers to improve affordability, prompting adaptable risk management strategies for financial institutions and empowering potential homebuyers with increased flexibility.
Originality/value
The study introduces a transformative housing finance model for Malaysia, merging elements from reverse mortgages, Islamic finance and the HTB scheme, offering potential applicability to similar systems globally.
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Ping Li, Zhipeng Chang and Wenhe Chen
To maintain the bottom line of food import risk in China, this paper proposes a novel risk state evaluation model based on bottom-line thinking after analyzing the decision-making…
Abstract
Purpose
To maintain the bottom line of food import risk in China, this paper proposes a novel risk state evaluation model based on bottom-line thinking after analyzing the decision-making ideas embedded in the bottom-line thinking method.
Design/methodology/approach
First, the order relation analysis method (G1 method) and Laplacian score (LS) are applied to calculate the constant weights of indexes. Then, the worst-case scenario of food import risk can be estimated to strive for the best result, so the penalty state variable weight function is introduced to obtain variable weights of indexes. Finally, the study measures the risk state of China's food import from the overall situation using the set pair analysis (SPA) method and identifies the key factors affecting food import risk.
Findings
The risk states of food supply in eight countries are in the state of average potential and partial back potential as a whole. The results indicate that China's food import risks are at medium and upper-medium risk levels in most years, fluctuating slightly from 2010 to 2020. In addition, some factors are diagnosed as the primary control objects for holding the bottom line of food import risk in China, including food output level, food export capacity, bilateral relationship and political risk.
Originality/value
This paper proposes a novel risk state evaluation model following bottom-line thinking for food import risk in China. Besides, SPA is first applied to the risk evaluation of food import, expanding the application field of the SPA method.
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Qiao Li, Chunfeng Liu, Jingrui Hou and Ping Wang
As an emerging tool for data discovery, data retrieval systems fail to effectively support users' cognitive processes during data search and access. To uncover the relationship…
Abstract
Purpose
As an emerging tool for data discovery, data retrieval systems fail to effectively support users' cognitive processes during data search and access. To uncover the relationship between data search and access and the cognitive mechanisms underlying this relationship, this paper examines the associations between affective memories, perceived value, search effort and the intention to access data during users' interactions with data retrieval systems.
Design/methodology/approach
This study conducted a user experiment for which 48 doctoral students from different disciplines were recruited. The authors collected search logs, screen recordings, questionnaires and eye movement data during the interactive data search. Multiple linear regression was used to test the hypotheses.
Findings
The results indicate that positive affective memories positively affect perceived value, while the effects of negative affective memories on perceived value are nonsignificant. Utility value positively affects search effort, while attainment value negatively affects search effort. Moreover, search effort partially positively affects the intention to access data, and it serves a full mediating role in the effects of utility value and attainment value on the intention to access data.
Originality/value
Through the comparison between the findings of this study and relevant findings in information search studies, this paper reveals the specificity of behaviour and cognitive processes during data search and access and the special characteristics of data discovery tasks. It sheds light on the inhibiting effect of attainment value and the motivating effect of utility value on data search and the intention to access data. Moreover, this paper provides new insights into the role of memory bias in the relationships between affective memories and data searchers' perceived value.
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With the global spread of environmental education, environmental awareness is becoming increasingly important in daily life and economic activities. Sustainable development, as…
Abstract
Purpose
With the global spread of environmental education, environmental awareness is becoming increasingly important in daily life and economic activities. Sustainable development, as the most effective development approach to address global climate change, has gradually become a research hotspot in countries around the world. The authors combine sustainable development with supply chain management and incorporate into the study the objective issue of corporate fairness preferences in real society to explore the pricing and product greenness decision problem of a secondary sustainable supply chain consisting of a manufacturer producing green products and a retailer selling green products. In particular, the authors explore how supply chain decisions change when both the manufacturer and the retailer focus on fairness and how this fairness behavior affects pricing and product greenness decisions in sustainable supply chains.
Design/methodology/approach
The authors consider that the manufacturers' greening efforts lead to expanded demand at the retail end. Upstream and downstream firms in the supply chain have preferences for the fairness of transactions. The impact of the fairness behavior of upstream and downstream firms in the supply chain on supply chain decisions is explored by building a Stackelberg game model.
Findings
The results of this study show that the fairness concern behavior of manufacturers and retailers in the supply chain has an impact on product greenness, product pricing and corporate profits.
Originality/value
This study on the fairness concern behavior of supply chain firms integrates behavioral economics and supply chain management. First, the authors consider the equilibrium problem of supply chain members in the centralized channel when there are no fairness preferences. Second, the decision problem of firms in the decentralized channel when fairness is considered and when fairness preferences are not considered is explored. The authors compare these three cases to derive the corresponding propositions. Finally, the authors verify the previous conclusions and draw other conclusions using arithmetic analysis.
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