bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organizational resilience, job satisfaction and business performance
Authors: Beuren Ilse Maria , dos Santos Vanderlei , Theiss Viviane 
Published: August 2021

PurposeThis paper aims to analyze the effects of organizational resilience on job satisfaction and business performance in companies that have undergone corporate reorganizations.Design/methodology/approachA survey was carried out on a sample of 102 executives and managers from Brazilian companies that underwent corporate reorganization. The structural equation modeling (SEM) technique was used to test the hypotheses.FindingsThe results indicate that organizational resilience influences business performance (in the dimensions of economy-financial, customers and processes/learning) and job satisfaction (in the dimensions of financial and personal benefits). However, the relations between job satisfaction and business performance were partial, indicating that satisfaction can affect performance through other variables.Research limitations/implicationsThe main study implication lies on the empirical immersion regarding the effects of active organizational resilience on multi-faceted business performance, to the detriment of only the financial view and on job satisfaction.Practical implicationsThe distinct effects of resilience on business performance and job satisfaction provide managers with insight into how to allocate resources, in order to benefit the interests of both employer and employee.Originality/valueThis is one of the first studies to provide empirical evidence of the effects of active organizational resilience on multi-dimensional business performance. The results provide new insights into this relationship and may clarify divergent results found in the literature. It also provides evidence of the effects of active organizational resilience on job satisfaction in companies that have undergone corporate reorganizations, events that are supposed to require resilient skills.
SSVEP-based active control of an upper limb exoskeleton using a low-cost brain–computer interface
Authors: Xu Yue , Wu Qingcong , Chen Bai , Chen Xi 
Published: August 2021

Purpose
For the robot-assisted upper limb rehabilitation training process of the elderly with damaged neuromuscular channels and hemiplegic patients, bioelectric signals are added to transform the traditional passive training mode into the active training mode.

Design/methodology/approach
This paper mainly builds a steady-state visual stimulation interface, an electroencephalography (EEG) signal processing platform and an exoskeleton robot verification platform. The target flashing stimulation blocks provide visual stimulation at the specified position according to the specified frequency and stimulate EEG signals of different frequency bands. The EEG signal-processing platform constructed in this paper removes the noise by using Butterworth band-pass filtering and common average reference filtering on the obtained signals. Further, the features are extracted to identify the volunteer’s active movement intention through the canonical correlation analysis (CCA) method. The classification results are transmitted to the upper limb exoskeleton robot control system, combined with the position and posture of the exoskeleton robot to control the joint motion of robot.

Findings
Through a large number of experimental studies, the average accuracy of offline recognition of motion intention recognition can reach 86.1%. The control strategy with a three-instruction judgment method reduces the average execution error rate of the entire control system to 6.75%. Online experiments verify the feasibility of the steady-state visual evoked potentials (SSVEP)-based rehabilitation system.

Originality/value
An EEG signal analysis method based on SSVEP is integrated into the control of an upper limb exoskeleton robot, transforming the traditional passive training mode into the active training mode. The device used to record EEG is of very low cost, which has the potential to promote the rehabilitation system for further widely applications.
Wearable sensor-based pattern mining for human activity recognition: deep learning approach
Authors: Bijalwan Vishwanath , Semwal Vijay Bhaskar , Gupta Vishal 
Published: August 2021

Purpose
This paper aims to deal with the human activity recognition using human gait pattern. The paper has considered the experiment results of seven different activities: normal walk, jogging, walking on toe, walking on heel, upstairs, downstairs and sit-ups.

Design/methodology/approach
In this current research, the data is collected for different activities using tri-axial inertial measurement unit (IMU) sensor enabled with three-axis accelerometer to capture the spatial data, three-axis gyroscopes to capture the orientation around axis and 3° magnetometer. It was wirelessly connected to the receiver. The IMU sensor is placed at the centre of mass position of each subject. The data is collected for 30 subjects including 11 females and 19 males of different age groups between 10 and 45 years. The captured data is pre-processed using different filters and cubic spline techniques. After processing, the data are labelled into seven activities. For data acquisition, a Python-based GUI has been designed to analyse and display the processed data. The data is further classified using four different deep learning model: deep neural network, bidirectional-long short-term memory (BLSTM), convolution neural network (CNN) and CNN-LSTM. The model classification accuracy of different classifiers is reported to be 58%, 84%, 86% and 90%.

Findings
The activities recognition using gait was obtained in an open environment. All data is collected using an IMU sensor enabled with gyroscope, accelerometer and magnetometer in both offline and real-time activity recognition using gait. Both sensors showed their usefulness in empirical capability to capture a precised data during all seven activities. The inverse kinematics algorithm is solved to calculate the joint angle from spatial data for all six joints hip, knee, ankle of left and right leg.

Practical implications
This work helps to recognize the walking activity using gait pattern analysis. Further, it helps to understand the different joint angle patterns during different activities. A system is designed for real-time analysis of human walking activity using gait. A standalone real-time system has been designed and realized for analysis of these seven different activities.

Originality/value
The data is collected through IMU sensors for seven activities with equal timestamp without noise and data loss using wirelessly. The setup is useful for the data collection in an open environment outside the laboratory environment for activity recognition. The paper also presents the analysis of all seven different activity trajectories patterns.
Examining effectiveness of online and offline channel integration
Authors: Oh Chung Heon 
Published: August 2021

Purpose
Channel conflicts between initial providers (IPs) and independent middlemen (IMM) can hinder the market penetration of IPs, especially for small- and medium-sized enterprises with low brand awareness.

Design/methodology/approach
A case study is used to describe the introduction of an agent-friendly graphic user interface (AFGUI) as a compromise for the basic needs of the IP and IMM, both for the successful market entry of IPs and to encourage the IMM to accept original brand manufacturing (OBM), which can maximize the benefits of IPs after a successful product/service launch.

Findings
This case study shows that the AFGUI significantly contributes to increasing the IMM’s OBM selection. Comparing the “before AFGUI introduction” group to the group of IMMs who have been SeaHerb’s – a manufacturer of brown seaweed extract – IMM for fewer than three years shows that the latter group’s OBM selection can positively affect the order amount.

Originality/value
The AFGUI can integrate traditional offline distribution channel systems into online distribution systems. Regarding the AFGUI’s functional effectiveness for preventing fake sellers and fake products, further research on its adoption by online platform providers (e.g. Amazon and eBay) is recommended.
Contingent conditions on the effectiveness of salesperson acquisition-retention ambidexterity: the motivation–opportunity–ability framework
Authors: Zheng Yaqin , Liu Dong , Zheng Yi , Zang Zhimei 
Published: August 2021

Purpose
This study aims to investigate moderators affecting the impact of salesperson acquisition-retention (AR) ambidexterity on sales performance based on the motivation-opportunity-ability (MOA) framework.

Design/methodology/approach
The authors collected triadic data through 391 questionnaires from salespeople, 50 questionnaires from sales managers and archival data about each salesperson’s performance. Hierarchical linear modeling was applied to test the hypotheses.

Findings
The results indicate that salesperson AR ambidexterity positively affects sales performance. The positive effect is strengthened by capability control but weakened by outcome control and activity control. The authors also find that sales experience and market attractiveness hurt the effectiveness of salesperson AR ambidexterity.

Research limitations/implications
First, this study does not examine the mediating mechanism underlying the effect of salesperson AR ambidexterity. Second, sales-service ambidexterity is another ambidextrous variable for salespeople. Future research can consider AR and sales-service ambidexterity together.

Practical implications
First, managers should be cautious when encouraging experienced salespeople to conduct AR ambidexterity. Second, managers need to use capability control to motivate salespeople with AR ambidextrous behaviors. Third, AR ambidexterity could be not required in a market with many opportunities.

Originality/value
Although some studies have examined the effectiveness of salesperson AR ambidexterity, they reveal inconsistent findings, which suggest contingent conditions on the effectiveness of salesperson AR ambidexterity. However, the attention on the contingent conditions is limited. Therefore, this paper systematically investigates the contingent conditions from the MOA framework. The findings provide some insights into when salesperson AR ambidexterity is effective.
The influences of Islamic retail mix approach on purchase decisions
Authors: Monoarfa Hilda , Juliana Juliana , Setiawan Rahman , Abu Karim Rizuwan 
Published: August 2021

Purpose
This study aims to investigate the influence of the Islamic retail mix of product, price, promotion and store atmosphere on consumers' purchase decisions.

Design/methodology/approach
The research method is a survey with a purposive sampling technique, involving 100 respondents. The data was analyzed using the SEM PLS analysis tool.

Findings
Products and promotions are partially insignificant to purchasing decisions in Islamic retail. This is because consumers are convinced of all the products offered by the sharia retail mix, so they are less concerned with products and promotions. However, this study reinforces that price and store atmosphere has a significant impact on purchasing decisions in Islamic retail.

Research limitations/implications
This study focuses on product, price, promotion and store as its variable dependent, with two of the variables are less significant compared to the rest. In addition, the samples are relatively small, leading to concerns about its ability to generalize the results of the study. The instruments that are used are also relatively limited. Additionally, the relevant characteristics of respondents are not evenly distributed. Thus, further study investigating similar topics might need to increase the number of samples, expand the characteristics of the sample, and including such variables as process, location, brand equity and customer’s trust level.

Practical implications
To encourage consumers to make purchases on Islamic retail, companies should emphasize price and store atmosphere, which are the main considerations for consumers in making purchases at Islamic retail. Product and promotion are less prominent in Islamic retail because they are similar to those carried out by conventional retail.

Originality/value
This paper is significant in investigating the effect of sharia retail product mix, price, promotion and store atmosphere on consumer purchasing decisions at Sehati Muslim Mart Daarut Tauhid (SMM-DT), which is located in a famous boarding school in Indonesia. This study has succeeded in revealing the strengths and weaknesses of the variables that influence consumer purchasing decisions in Islamic retail.
Innovation capabilities and the organization of the firm: evidence from Brazil
Authors: Pufal Nathália Amarante , Zawislak Paulo Antônio 
Published: August 2021

PurposeThe purpose of this paper is to examine different types of organization of the firm considering the innovation capabilities of manufacturing firms.Design/methodology/approachThe authors carried out an innovation survey with Brazilian manufacturing firms. A sample of 1,156 firms was analyzed in this paper. Collected data were analyzed using multivariate data analysis techniques. From an innovation capabilities approach, it was possible to identify different types of organization of the firm.FindingsResults show four different types of organization of the firm: advanced, intermediate and basic stability-oriented and change-oriented. Each type presents a different innovation capabilities arrangement. The successful strategies toward innovation are related to change-oriented organization of the firm and advanced stability-oriented organization of the firm.Research limitations/implicationsThis study contributes to the literature by presenting a different view on the organization of the firm, encompassing the capabilities approach and thus a higher level on the perception of firms' heterogeneity. This study contributes to narrow the literature gap on how firms internally coordinate its different capabilities into a coherent organization to sustain an innovative behavior.Practical implicationsThese straightforward findings can serve as a guideline so that managers can conduct changes within their companies toward more innovation. Managers can reconsider its organization as a way to foment innovation, once it is identified as a key strategy for competitiveness.Social implicationsThis study may help managers understand that focusing on stability-driven capabilities is riskier if change-driven capabilities are not present in an adequate and aligned level of development. The outcome may be the growth of the cost structure greater than the potential return. Conversely, managers should also understand that once change-driven capabilities are in a glance, they need do follow up with stability-driven capabilities. Here, the risk is not having an adequate structure to sustain the upcoming growth, arising from innovation. In short, not only “cost and value” should be taken together, but they must be arranged following the specific situation of the company. Every company should manage costs either to sustain new added value or to allow the addition of new value.Originality/valueThe study is based on a unique dataset that traces a large set of companies, being able to check different types of firm organization and associate it with innovation capabilities. The study relates to an emerging economy, which has not received adequate attention until now, largely because of the lack of micro-level data. The study is based on a robust theoretical model of innovation capabilities, which is being tested through such data. Finally, results elucidate ways to improve innovation performance of firms.
A comparison of Australians, Chinese and Sri Lankans' payment preference at point-of-sale
Authors: Senali Madugoda Gunaratnege , Cripps Helen , Meek Stephanie , Ryan Maria M. 
Published: August 2021

PurposeThe rise of digital transaction technology has been transformative for businesses however consumer attitudes to this technology can vary. The comparison of Australians, Chinese and Sri Lankans’ consumers salient attitudes toward payment methods at the Point-of-Sale (POS) provides businesses with insights into the factors impacting consumers' payment preference.Design/methodology/approachA qualitative methodology was employed for data collection from Australian, Chinese and Sri Lankan participants. A combination of focus groups and individual interviews were carried out with a total of 35 participants.FindingsResults indicate that factors of perceived relative advantage, perceived compatibility, perceived risk, perceived rewards, perceived situations and social influence impact consumers' payment preference at POS across all three countries, however the degree of impact varies in importance across the three countries.Practical implicationsIn the cross-cultural comparison of the consumers' payment preference, this research highlights the complex interplay of factors that shapes these payment preferences. The findings, given the growing digitization of transactions, provides banking and financial institutions with a foundational model that can be used to improve their services and business model.Originality/valuePrevious studies failed to distinguish between payment choice at the time of the transaction and payment preference which is repeated behaviour. This study is the first to compare the consumers' payment preference across Australian, Chinese and Sri Lankan consumers and responds to calls for additional research that generalises consumers' payment preferences across cultures.
Towards nearly zero energy building concept – visual comfort and energy efficiency assessments in a classroom
Authors: Mahyuddin Norhayati , Samzadeh Mozhgan , Zaid Suzaini M. , Ab Ghafar Norafida 
Published: August 2021

PurposeThis paper aims to raise awareness on how a simple action by the occupant can significantly influence building energy efficiency, cost and CO2 emissions to the environment. Classrooms in schools are the primary energy consumers (45.4%) due to the use of artificial lighting, despite Malaysia's tropical climate being ideal for daylight exploitation. This paper focuses on assessing the workplane daylight distribution quality and quantity in baseline and existing conditions of a typical pre-school classroom in Kuala Lumpur as a model-based exploration strategy towards nearly Zero Energy Buildings.Design/methodology/approachThe adopted method is based on the calculation of average daylight factor (DF), daylight illuminance level (IL) and uniformity ratio (UR) parameters affected by the internal fixed drapes through computational and in situ measurements according to the requirements of the law and respective standards comprising the MS1525:2019, GBI and BREEAM.FindingsThe results show how user behaviour can turn a well-daylit area (Net Lettable Area>90%) into a poor-daylit area (NLA<5%) by sacrificing natural daylight. All the parameters' values were significantly decreased from 10% (UR) up to 88% (ADF). Full dependency on artificial lighting has imposed a total of RM18858.90 and CO2 emissions of 25,362 kg for all pre-schools' classrooms in the country per day.Social implicationsThe paper develops the occupants' awareness on their contribution to climate change and global warming through the information and transparency provided.Originality/valueThe evidence indicates that a simple action by the occupant can significantly influence visual comfort, EE, cost and CO2 emissions to the environment.
Information traceability platforms for asset data lifecycle: blockchain-based technologies
Authors: Brandín Roberto , Abrishami Sepehr 
Published: August 2021

PurposeThe emergence of new digital technologies in the era of the Fourth Industrial Revolution presents a turning point that could change the fate of the traditional ways of designing, build and manage asset data. Disruptive technologies such as Blockchain and theInternet of things (IoT) are one of the main pillars that are driving this revolution. The integration of decentralised networks and automated workflows has the potential to become a pivotal factor in construction projects, especially in supply chain ecosystems within the off-site manufacturing field. Obstacles related to fragmented information, interoperability, transparency and “big data” management are the main drivers for change that the industry needs to address. Whilst organisations and users can automate workflows and processes by utilising IoT technology to transfer data without human-to-human or human-to-computer interaction, the interaction, storage and management of the data generated are not safe or reliable.Design/methodology/approachThe approach outlined in this paper addresses the challenges that IoT and centralised networks present. Blockchain, a peer-to-peer distributed database, offers the possibility to support and maintain the asset information without interruptions in all the stages of the life cycle. The synergy between these technologies, along with other techniques, methods and platforms (such as building information modeling (BIM)), based on a single environment, will support information traceability from the strategic definition to end of life.FindingsThe framework of this study presents an excellent opportunity to apply new workflows and processes with the application of new technologies and protocols. It benefits from a well-established platform such as BIM to enable the coordination and management of digital assets as well as giving illustration and collaboration to the supply chain members. IoT and Blockchain are the other layers that work together with the third layer (BIM). This framework proposed the use of these platforms to ensure the information traceability of physical and digital assets, data automation and information management, in a dynamic supply chain ecosystem, bringing efficiency and transparency to stakeholders and users.Practical implicationsThis study provides an exploratory framework to be used by the supply chain members in offsite manufacturing, and the architecture, engineering and construction (AEC) industry in general, to track asset information throughout their entire life cycle securely and transparently.Originality/valueThis paper contributes to the knowledge of IoT, Blockchain technology and BIM use in offsite manufacturing under the AEC industry. It provides a basis for future research by professionals, experts and academics regarding these technologies and their workflows.