bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trajectory tracking and point stability of three-axis aero-dynamic pendulum with MPC strategy in disturbance environment
Authors: Liu Xiaofeng , Xu Jiahong , Liu Yuhong 
Published: June 2021

Purpose
The purpose of this research on the control of three-axis aero-dynamic pendulum with disturbance is to facilitate the applications of equipment with similar pendulum structure in intelligent manufacturing and robot.

Design/methodology/approach
The controller proposed in this paper is mainly implemented in the following ways. First, the kinematic model of the three-axis aero-dynamic pendulum is derived in state space form to construct the predictive model. Then, according to the predictive model and objective function, the control problem can be expressed a quadratic programming (QP) problem. The optimal solution of the QP problem at each sampling time is the value of control variable.

Findings
The trajectory tracking and point stability tests performed on the 3D space with different disturbances are validated and the results show the effectiveness of the proposed control strategy.

Originality/value
This paper proposes a nonlinear unstable three-axis aero-dynamic pendulum with less power devices. Meanwhile, the trajectory tracking and point stability problem of the pendulum system is investigated with the model predictive control strategy.
Factors impacting on accounting academics’ motivation and capacity to adapt in challenging times
Authors: Beatson Nicola , de Lange Paul , O'Connell Brendan , Tharapos Meredith , Smith Jeffrey K. 
Published: June 2021

Purpose
The purpose of this paper is to consider what factors influence the ability of academic staff to remain motivated and to persist in their work environment during the COVID-19 pandemic. Tinto’s (2017) model of student motivation and persistence is reconceptualised to apply to the academic staff by considering their self-efficacy beliefs, sense of belonging and perceptions of career relevance on their motivation levels and adaption to a new environment.

Design/methodology/approach
Utilising Tinto’s (2017) reconceptualised model for academics, this study provides insights into motivation and capacity to adapt during the COVID-19 pandemic. This paper presents observations and reflections from five academics from three universities across two countries in relation to self-efficacy, sense of belonging and perception of career relevance.

Findings
The findings of this study state that self-efficacy beliefs, a sense of belonging and perceptions of career relevance combine to drive both academics’ motivation levels and their ability to adapt to the changing landscape. Self-efficacy was influenced by factors such as struggles with adaptation to new online technologies and researching and teaching in a virtual environment. Academics’ sense of belonging was found to be challenged in unprecedented ways because of physical isolation and sometimes unfavourable home working environments. Perceptions of career relevance were found to be challenged by adverse developments such as reduced promotional opportunities, cuts in resourcing and job insecurity.

Originality/value
This paper makes three important contributions. First, Tinto’s (2017) model of student motivation and persistence is extended to examine academic motivation, adaption and persistence. Second, the model is applied to a crisis where staff face greater strain in maintaining connection to their colleagues and their university. Third, the influence of the COVID-19 crisis is examined by using the reconceptualised Tinto (2017) model in the context of accounting, as accounting international student enrolments and associated revenue streams have been impacted significantly more than those of many other disciplines.
Premium, popular and basic olive oils: mapping product segmentation and consumer profiles for different classes of olive oil
Authors: Di Vita Giuseppe , Zanchini Raffaele , Gulisano Giovanni , Mancuso Teresina , Chinnici Gaetano , D'Amico Mario 
Published: June 2021

PurposeUrban metropolitan consumers react to the different qualitative categorizations of the product thus creating homogeneous market segments. The aim of this paper is to identify specific market segments which allow for the definition of homogeneous olive oil consumer targets.Design/methodology/approachThis study was based on the stated preferences of consumers and emphasizes the role that different quality scales of olive oil have in the eye of the consumer. The data, collected through a questionnaire, were analysed by means of inferential and multivariate statistics techniques, that is, the study specifically entailed a factorial and cluster analysis.FindingsThis paper explores olive oil market segments broken down by the different quality levels of existing products, thus trying to identify main consumer preferences. Our outcomes suggest the existence of three main quality classes of olive oil consumer: basic, popular and premium.Research limitations/implicationsEven though we gathered data and information from a broad sample, the study does not fully reflect the average Italian population since we based our study on a convenience sample of northern Italian consumers. A more extended sample is needed to test our hypothesis in other regional areas.Practical implicationsThe outcomes derived from this study provide useful insights both for marketers and olive oil producers by allowing more efficient strategic decisions in terms of product segmentation.Originality/valueThis study, aimed at matching olive oil market segments and consumer preferences, shows the existence of three well-defined quality classes of olive oil consumer: basic, popular and premium. In addition, this study ascertains for the first time how the attitude towards local products is positively influenced by family origin as a result of an inter-generational attitude.
Coffee shop corporate social responsibility (CSR) and reuse intention using triple bottom line theory
Authors: Shim Ji Min , Lee Won Seok , Moon Joonho , Song Myungkeun 
Published: June 2021

PurposeThe purpose of this study is to identify the attributes that statistically affect reason intention. The triple bottom line, a theoretical framework of corporate social responsibility (CSR) consisting of economic, social and environmental subdimensions, is used as the theoretical foundation.Design/methodology/approachIn this study, price fairness, quarantine and hygiene, and eco-friendliness represent economic, social and environmental CSR, respectively. Amazon Mechanical Turk is used for data collection. The valid number of observations is 474. Structural equation modeling is implemented to test the research hypotheses.FindingsThe results indicate that price fairness, quarantine and hygiene positively affect the reuse intention of coffee shops. However, eco-friendliness appears to be an attribute that does not significantly affect reuse intention.Originality/valueThis study theoretically contributes to the literature by demonstrating the explanatory power of triple bottom line theory for café customer intention.
Short supply chain participation, and agrochemicals' use intensity and efficiency: evidence from vegetable farms in China
Authors: Zhang Xiaoheng , Yu Xiaohua 
Published: June 2021

PurposeOveruse of chemical fertilizers and pesticides is a major policy concern for many countries. Chinese government has adopted many technologies and management practices to reduce their use. However, little is known about the effects of social-economic method such as short supply chain (SSC) participation. SSC is an important organizational innovation in fresh food supply chains aiming at directly connecting farmers and consumers. Closer relationships between farmers and consumers may result in production behavioral changes. Thus the purpose of this paper is to investigate the impacts of SSC participation on agrochemicals application.Design/methodology/approachBased on the household level data collected from Jiangsu province in China, this paper employs an instrumental variable (IV) method to address the self-selection bias when we evaluate the effects of SSC participation on use of chemical fertilizer and pesticides. In addition, this paper also distinguishes between growth inputs and facilitating inputs in the production function when we calculate the marginal production values of chemical fertilizer and pesticides.FindingsThe empirical results show that SSC participation significantly reduces chemical fertilizer use by 351 kg and pesticides costs by 1659 Yuan (RMB) per hectare, accounting for 43.4% of the average chemical fertilizer use and 49.4% of the average pesticide costs, respectively for Chinese vegetable farms. However, SSC participation still cannot improve the use efficiency of agrochemicals.Originality/valueThis paper uses both application quantities and allocation efficiencies of chemical fertilizer and pesticides to comprehensively evaluate the effects of SSC participations. The results will reveal the core role of SSC played in promoting sustainable development of Chinese agricultural sector dominated by small-scale farmers.
A novel high step-up non-isolated DC-DC converter using VL technique for perovskite PV cells
Authors: Zargari Afshar Deniz , Alemi Payam 
Published: June 2021

Purpose
At first, the organic/inorganic and hybrid PV materials by their electrical model are described. Then the proposed converter topology, circuit analysis and various operating modes of converter according to on/off timing of switches are investigated. The current and voltage in the converter components are illustrated and the voltage gain and switching stress of proposed converter are presented. Finally, to show the effectiveness of the proposed converter, the power loss analysis is provided and the simulation is done in PSIM software. In the last section, the advantages of the proposed topology of higher efficiency by lower number of components in compare with other conventional topologies are presented.

Design/methodology/approach
In this paper, an improved topology of DC-DC converter based on VL technique is proposed for Perovskite Solar cells (PeSCs). The PeSCs attracted a lot of interest due to their potential in combining the advantages of both organic and inorganic components. The proposed converter by using fewer components and higher output voltage generation in compare with conventional ones could be a good candidate for PeSCs due to lower efficiency of this cells. The performance of converter is expressed in continuous conduction mode (CCM) and discontinuous conduction mode (DCM), and the boundary conditions for the proposed converter is presented.

Findings
By using VL technique, this converter is used to boost the lower output voltage levels of PeSCs for grid connection. The PV cell output voltage is increased from 24.5 V to 106 V by proposed converter topology. The step-by-step voltage increasing by charging and discharging of inductor and capacitor is used for boosting the input voltage. By comparing other converters, there is no design complexity in the proposed converter structure, and the power loss is much reduced which increases the converter efficiency. On the other hand, due to using lower number of elements of energy storage elements such as inductors and capacitors, the converter cost is also diminished. Therefore, the design topology simplicity which result simple control algorithm and lower number of components which diminish the system cost by appropriate voltage boosting capability are the main advantages of this proposed topology for new PeSCs which don’t have enough efficiency in compare with old Si PV cells.

Originality/value
In this paper, by using the lower number of components a new structure of DC-DC converter based on the VL technique is proposed. The advantages of this converter such as the simplicity, easier control and high voltage gain by lower power loss, could make this converter a good candidate for new PeSCs where the system whole efficiency will be a critical point to have the unique properties of this new materials in lower loss.
Knowledge management systems usage: application of diffusion of innovation theory
Authors: Okour Mohammad Khaleel , Chong Chin Wei , Abdel Fattah Fadi Abdel Muniem 
Published: June 2021

Purpose
The purpose of this study is to investigate the influence of technological antecedents on the usage of decision makers for the implemented knowledge management system (KMS) amongst Jordanian banks. This study extends the investigation by assessing the influence of knowledge or information quality on KMS usage. This study aims to assess whether knowledge or information quality is significantly correlated to system compatibility, relative advantage and complexity (technological antecedents).

Design/methodology/approach
The study model was developed by using Rogers’ diffusion of innovation (DOI) theory, on which seven hypotheses were developed. To examine these research hypotheses, a self-administered questionnaire was carried out with 341 decision makers who are using the KMS to perform their job-related activities. Structural equation modelling analysis of moment structures software was used for data analysis.

Findings
The findings revealed that decision makers usage of the implemented KMS’s is affected significantly by relative advantages, system complexity and knowledge quality, but not system compatibility. Moreover, the findings showed that knowledge quality is significantly correlated with DOI technological antecedents.

Practical implications
Bank managements are now in a better position to understand what kind of resources and supports are needed to achieve the maximum pay-off from KMS usage within their banks. This study has proved that it is not sufficient for Jordanian banks to focus solely on the system quality; they must also take the quality of knowledge or information (system output) as a critical factor that can affect their investments in KMS’s.

Originality/value
This study is one of the limited conducted studies to investigate the importance of KMS usage and related antecedents in the Arab world; particularly, in the context of the Jordanian banking sector. The findings of this study have contributed to the Jordanian financial sector for its vital evaluation of the KMS actual usage behaviour. Findings can be used by the Jordanian ministry of finance to improve the understanding of the factors influencing KMS usage in the financial sector. This study has contributed to reducing the gap of DOI literature amongst developed and developing countries, particularly in the Jordanian context.
A comprehensive G-Lz-ADC effectiveness evaluation model for the single communication satellite system in the context of poor information
Authors: Shao Ruirui , Fang Zhigeng , Tao Liangyan , Gao Su , You Weiqing 
Published: June 2021

PurposeDuring the service period of communication satellite systems, their performance is often degraded due to the depletion mechanism. In this paper, the grey system theory is applied to the multi-state system effectiveness evaluation and the grey Lz-transformation ADC (availability, dependability and capability) effectiveness evaluation model is constructed to address the characteristics of the communication satellite system such as different constituent subsystems, numerous states and the inaccuracy and insufficiency of data.Design/methodology/approachThe model is based on the ADC effectiveness evaluation method, combined with the Lz transformation and uses the definite weighted function of the three-parameter interval grey number as a bridge to incorporate the possibility of system performance being greater than the task demand into the effectiveness solution algorithm. At the same time, using MATLAB (Matrix laboratory) to solve each state probability, the same performance level in the Lz transform is combined. Then, the system effectiveness is obtained by Python.FindingsThe results show that the G-Lz-ADC model constructed in this paper can accurately evaluate the effectiveness of static/dynamic systems and certain/uncertain system and also has better applicability in evaluating the effectiveness of the multi-state complex system.Practical implicationsThe G-Lz-ADC effectiveness evaluation model constructed in this paper can effectively reduce the complexity of traditional effectiveness evaluation models by combining the same performance levels in the Lz-transform and solving the effectiveness of the system with the help of computer programming, providing a new method for the effectiveness evaluation of the complex MSS. At the same time, the weaknesses of the system can be identified, providing a theoretical basis for improving the system’s effectiveness.Originality/valueThe possibility solution method based on the definite weighted function comparing the two three-parameter interval grey numbers is constructed, which compensates for the traditional calculation of the probability based on numerical values and subjective preferences of decision-makers. Meanwhile, the effectiveness evaluation model integrates the basic theories of three-parameter interval grey number and its definite weighted function, Grey−Markov, grey universal generating function (GUGF), grey multi-state system (GMSS), etc., which is an innovative method to solve the effectiveness of a multi-state instantaneous communication satellite system.
Determinants of post COVID-19 food security policy success
Authors: Amin Fadillah , Poespito Hadi Wibisono , Zauhar Soesilo , Santoso Haryono Bambang 
Published: June 2021

Purpose
The purpose of this paper is to analyze and examine the influence of the role of the central government, the role of local government, community participation, governance on the success of post-COVID-19 food security policies.

Design/methodology/approach
This study conducted a quantification study related to phenomena related to the success of post-COVID-19 food security policies. The data used are primary data with a research instrument in the form of a questionnaire. Data analysis using the measurement model Structural Equation Model (SEM). The population in this study was all people in the city of Bandung, Indonesia.

Findings
The role of the Central Government (X1), the role of the Local Government (X2) and Public Participation (X3) is very important for improving Governance (Y1) and Food Defense Policy (Y2). Thus, the conditions of the role of the Central Government (X1), the role of the Local Government (X2) and Public Participation (X3) must always be maintained. Efforts to maintain the role of the Central Government (X1) and the role of the Local Government (X2) can be done by paying attention to the organizing aspect. This indicator is known to have a very important influence in reflecting the role of the Central Government (X1) and the role of the Local Government (X2). On the other hand, efforts to increase Public Participation (X3) can be done by paying attention to the Psychological indicators (X31).

Originality/value
The government must take steps to prevent a food crisis. Apart from that, the government is also deemed necessary to map existing agricultural potentials, stabilize food prices, carry out consolidation related to agricultural land and also make regulations related to existing food problems. Apart from the role of the government, the public can also take part in maintaining food security to avoid a food crisis. Communities have the opportunity to build food sovereignty and self-sufficiency. During a pandemic like this, people tend to be more creative and can be creative to outsmart existing situations. This includes maintaining access to food. The community is expected to have the awareness to undertake at least independent planting to meet their own food needs.
Investigating training effectiveness of public and private banks employees in this digital age: an empirical study
Authors: Akther Shahin , Rahman Muhammad Sabbir 
Published: June 2021

PurposeThe purpose of this study is to examine the pre-training and post-training variables influencing employee training effectiveness in the banking industry in this era of the digital age.Design/methodology/approachThis study adopted a cross-sectional research design and a structured questionnaire to survey the participants (i.e., bank employees) (n = 702) for data collection. The data gathered from the surveyed respondents were analyzed using the Partial Least Square to Structural Equation Modeling (PLS-SEM) approach to test the proposed hypotheses.FindingsThe research findings suggest a significant influence of pre-training (i.e., training environment, trainer quality) and post-training (i.e., trainee motivation, trainee self-efficacy, and authentic leadership practices) factors towards the bank's staff training effectiveness in this era of digital age.Originality/valueThe research is one of the pioneer attempts on training effectiveness that significantly open opportunity for financial institutions such as banks to meet the challenge of the fourth industrial revolution from a developing country perspective. The current study also contributes to the extension of the theoretical and managerial doctrine in terms of the relationship among the pre-and post-training factors to enhance training effectiveness under the scope of the financial sector's employees to manage human resources and their development in the digital age.
The impact of Danmu technological features on consumer loyalty intention toward recommendation vlogs: a perspective from social presence and immersion
Authors: Yang Tiantian , Yang Feng , Men Jinqi 
Published: June 2021

PurposeThis study investigates how Danmu (danmaku) technological features (DTFs) of recommendation vlogs (rec-vlogs) impact consumer experiences and decisions.Design/methodology/approachThe authors adopt the partial least squares structural equation modeling (PLS-SEM) technique with a sample of 422 viewers of Danmu-enabled rec-vlogs to examine the proposed model.FindingsThe DTFs positively affect consumer loyalty intentions through the mediation of social presence and immersion. Also, vlogger-product congruency significantly moderates the relationship between social presence and immersion.Originality/valueWith the increasing popularity of vlogs, retailers have adopted the vlog as a new marketing channel to connect with consumers. Although a growing body of studies focuses on this phenomenon, little is known about how DTFs help to increase consumer loyalty toward using rec-vlogs as product information sources. Anchored on the stimulus–organism–response framework, this study investigates how pseudo-synchronicity, Danmu-content congruency and parallelism, three DTFs used in rec-vlogs, impact consumer experiences of social presence and immersion, eventually influence the consumers' loyalty intentions toward rec-vlogs. The authors also examine whether the effect of social presence on immersion is contingent on vlogger-product congruency. These findings have implications for both researchers and practitioners to understand the effect of DTFs in the context of rec-vlogs.