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The purpose is to investigate how to create a new premium new energy vehicle brand.

This study employed a two-stage design. Firstly, a single-case study of NIO was undertaken to execute a thematic analysis, from which propositions were proposed and a theoretical model was constructed. Subsequently, quantitative data were collected through the questionnaire method to empirically test the model developed in the first stage.

NIO creates great user experience through four aspects: product, service, digital touchpoints and lifestyle. Functional experience is shaped by product and digital touchpoints, while emotional experience is affected by service and lifestyle. NIO wins extremely high user satisfaction through great user experience. User satisfaction is affected by both functional and emotional experience. Taking extremely satisfied users as the core, NIO leverages word-of-mouth recommendations to increase brand awareness and build premium brand image, so as to achieve high performance in the long term.

This study contributes to the literature by proposing and testing a theoretical model of creating a new premium new energy vehicle brand. It highlights the significance of emotional factors in the process of creating a new premium brand. It proposes employing the “ripple model” to translate user satisfaction into financial performance. It provides a three-step guide to creating a new premium brand for managers.

This longitudinal study focuses on the specific behaviours of both top and other leaders in family firms that are implementing lean and green practices in order to contribute to the sustainability transition.

Over the course of two years and two months, longitudinal comparative case research was carried out within two Indonesian family firms in the logistics and transportation business. Data were collected via of 86 interviews, 37 observed meetings within the firms and 12 work floor visits. The thematic analysis approach was based on the “fuller full-range theory of leadership”.

Over time, the leaders at various hierarchical levels learned to diversify their behavioural repertoire; solely exhibiting the transactional or transformational leadership style was not effective for employees’ adoption of lean and green practices. Instead, the leaders had to integrate the behaviours from the transactional, transformational and instrumental leadership styles.

This study explores the extension of leaders’ behaviours over time. Our findings result in two propositions that theoretically explain the evolved behaviours that steered the organisational transformation towards a lean and green firm. Given its context (i.e. Indonesian family-owned logistics firms), this study offers insights that might generalise to similar family firms in other Asian countries.

The new customer churn prediction (CCP) utilizing deep learning is developed in this work. Initially, the data are collected from the WSDM-KKBox’s churn prediction challenge dataset. Here, the time-varying data and the static data are aggregated, and then the statistic features and deep features with the aid of statistical measures and “Visual Geometry Group 16 (VGG16)”, accordingly, and the features are considered as feature 1 and feature 2. Further, both features are forwarded to the weighted feature fusion phase, where the modified exploration of driving training-based optimization (ME-DTBO) is used for attaining the fused features. It is then given to the optimized and ensemble-based dilated deep learning (OEDDL) model, which is “Temporal Context Networks (DTCN), Recurrent Neural Networks (RNN), and Long-Short Term Memory (LSTM)”, where the optimization is performed with the aid of ME-DTBO model. Finally, the predicted outcomes are attained and assimilated over other classical models.

The features are forwarded to the weighted feature fusion phase, where the ME-DTBO is used for attaining the fused features. It is then given to the OEDDL model, which is “DTCN, RNN, and LSTM”, where the optimization is performed with the aid of the ME-DTBO model.

The accuracy of the implemented CCP system was raised by 54.5% of RNN, 56.3% of deep neural network (DNN), 58.1% of LSTM and 60% of RNN + DTCN + LSTM correspondingly when the learning percentage is 55.

The proposed CCP framework using the proposed ME-DTBO and OEDDL is accurate and enhances the prediction performance.

Although the theoretical arguments provide several channels through which innovation affects export, empirical validation of this relationship is scarce. Further, the impact of the diverse channels of domestic and foreign research and development (R&D) on export is assessed in isolation by previous studies. This paper empirically investigates the impact of technological innovation on export capacity and intensity of industrial enterprises in emerging countries by considering three channels of domestic innovation and foreign R&D spillovers, namely internal R&D, embodied knowledge and disembodied knowledge in a unified framework.

Data on China's industrial enterprises in the manufacturing sector are extracted from the China National Bureau of Statistics (NBSC), the Ministry of Science and Technology of China (MST) and the UN Comtrade database for the period from 1998 to 2020. The instrumental variables two-stage least squares (IV-2SLS) and three-stage least squares (IV-3SLS) methods are used to control for the possible endogeneity bias and the problem of cross-equation correlation between residuals.

The results show that internal R&D is a critical factor to enhance the export performance of enterprises in emerging countries, while the effect of embodied spillovers and public–private collaboration on export capacity and intensity of industrial enterprises is substantial. Further, disembodied knowledge that is acquired through licensing of technology from advanced countries does not directly contribute to the export performance of enterprises but requires a threshold level of internal R&D capability. This study’s results also report a greater effect of embodied knowledge spillovers on export capacity and export intensity than internal R&D in emerging countries. The results are consistent to changes in the sample period and the estimation methods. The findings of the paper suggest that developing countries can speed up the process of export upgrading by relying on both domestic and foreign R&D efforts.

The findings would help policymakers to keep in mind the relative importance of internal R&D and embodied and disembodied knowledge spillovers for export performance before formulating a catch-up strategy and the outcome would encourage them to consider prior related knowledge in terms of internal R&D capability while acquiring external technology.

This study fills the gap in the existing literature by providing empirical validation of the innovation–export interplay and simultaneously assessing the effect of three diverse channels of technological innovation on the export performance of industrial enterprises. This paper enunciates important policy lessons for emerging countries' smooth transition to a knowledge-based economy.

This study examines the impact of China's trade and foreign direct investment (FDI) on Africa's global value chain (GVC) participation and economic upgrading.

The study covered 48 African countries, cutting across the western, eastern, central, southern and northern subregions to cover the heterogeneity of the continent. The study adopted feasible generalized least squares panel VAR-Granger causality Wald test and system generalized methods of moments techniques for estimation.

Overall, China's FDI to Africa and US-Africa trade have a linear relationship with Africa's GVC involvement and economic upgrading. The findings suggest that although China-Africa trade has a positive impact on GVC engagement and upgrading, the marginal effect decreases in the face of US-Africa and EU-Africa trade.

This study provides new evidence on the impact of China's FDI and trade on African economies' GVC participation and economic upgrading. To the best of the authors’ knowledge, this is the first study to empirically explore the effects of China's FDI and trade on Africa's GVC integration and economic upgrading as well as from the perspectives of backward and forward GVC participation. Furthermore, the study empirically examines whether the effects of Africa's economic cooperation with China relative to its GVC engagement differ from those of Europe (EU) and the US via a comparative regression.

The implementation of the digital economy has had a considerable influence on the manufacturing industry, and this paper aims to address the important issues of how to capture the opportunities presented by digital innovation and promote the transformation and upgrading of the manufacturing industry, as well as the improvement of quality and efficiency.

Using panel data from 30 Chinese provinces and cities between 2010 and 2021, this study establishes the panel vector autoregression (PVAR) model and uses impulse response function analysis to evaluate the influence of the digital economy on the high-quality transformation and upgrading of China's small home appliance industry across five dimensions under the digital economy.

The development of digital infrastructure has not demonstrated a noteworthy capacity for advancing the transformation and upgrading of the small home appliance industry. Furthermore, digital industrialization has exerted a minimal restraining influence on this process. Nevertheless, digital governance has consistently exhibited a substantial impact on facilitating the transformation and upgrading of the small home appliance industry. While both industrial digitization and digital innovation hold significant potential for promoting the transformation and upgrading of the small home appliance industry, their sustainability remains limited.

The organization should logically join independent innovation and open innovation, construct an industrial ecosystem for the profound convergence of the digital economy and compact household appliances, use digital-wise science and technology to empower the establishment of brand effects, strengthen the portrayal of the digital standard framework for the intelligent compact household appliance industry, advance the development of a public stage for computerized administrations in the compact household appliance industry and develop a strategy ecosystem for computerized assets in the compact household appliance industry.

This study offers systematic evidence of the relationship between the digital economy and the development of the small home appliance industry. The results of this research contribute to the literature on the impact of the digital economy on the manufacturing sector and provide a logical explanation for the transformation and upgrading of the small home appliance industry within the context of the digital economy.

The purpose of this paper is to investigate the way technology affects the provision of prehospital emergency care, upgrading the quality of services offered and significantly reducing the risk of premature termination of the patients.

The paper presents the development of the eEKAB, a pilot emergency medical information system that simulates the main services offered by the Greek National Instant Aid Centre (EKAB). The eEKAB was developed on an agile system methodology. From a technical perspective, the features and the technology were mainly chosen to provide reliable and user-friendly interfaces that will attract many users. eEKAB is based on three important pillars for offering health care to the patients: the “On-time Incident Reporting”, the “On-time Arrival at the Incident” and “Transfer to the Health Center”. According to the literature review, the emergency medical services (EMS) systems that combine all the features are very few.

It reduces the total time of the EMS procedures and it allows for an easier management of EMS, by providing a better allocation of human resources and a better geographical distribution of ambulances. The evaluation displayed that it is a very helpful application for the ambulance drivers as it reduces the ambulance response time to arrive in the patient's location and contributes significantly to the general performance of the prehospital medical care system. Also, the survey verified the importance of implementing eEKAB on a larger scale beyond the pilot usage. It is worth mentioning that the younger ambulance drivers had a more positive view for the purpose of the application.

The paper clearly identifies implications for further research. Regarding interoperability, the mobile app cooperates with the Operational Center of EKAB, while further collaboration could be achieved with other operational ambulance handling center, mainly, of the private sector. The system can evolve to include better communications among the EKAB departments. Particularly, the ambulance crew as well as the doctors should be informed with more incident features such as the emergency signal so that they know whether to open the siren, the patient's name, etc. The authors are currently working on implementing some features to provide effective medical health services to the patient in the ambulance.

eEKAB will have very significant implications in case of its enforcement, such as the reduction of the total time of EMS procedures with a corresponding reduction of the operating costs of an accident management system and an ambulance fleet handling system while in parallel informing in time the doctors/clinics. It will provide better distribution of ambulances as well as of total human resources. It will greatly assist ambulance drivers, while reducing ambulance response time to reach the patient's location. In other words, the authors will have a better performance of the whole prehospital care system.

Providing emergency care before the hospital is of great importance for upgrading the quality of health services provided at the accident site, thus significantly reducing the risk of premature death of patients. This in itself has a significant social implication.

The paper demonstrates a solid understanding in the field of the EMS systems and the corresponding medical services offered. It proposes the development of an effective, feasible and innovative EMS information system that will improve the existing emergency health care system in Greece (EKAB). An in depth literature review and presentation of the adopted new technologies and the respective architecture take place. An evaluation and statistical validation were conducted for proving the high applicability of eEKAB in case of real-life running.

Using the Shanghai pilot free trade zone (SPFTZ) as the testing ground for further reform and opening up,the links between global value chain (GVC) and pilot free trade zone (PFTZ) programs are mutually reinforcing. GVC creates opportunities for companies to use PFTZ to reduce their costs and increase their competitiveness, while PFTZ can facilitate the movement of goods within GVC and promote the development of GVC by attracting foreign investment. Overall, in SPFTZ, the industrial structure is promoted due to trade and investment facilitation, innovation promotion, and comprehensive service platform inside SPFTZ.

This study examined industrial upgrading in GVC (IUGVC) using five indicators under three quantitative dimensions: product, process, and skill upgrading. Difference-in-Differences (DID) model is employed for the impact assessment of SPFTZ. Parallel trend analysis and Granger causality analysis are performed to check the reliability of DID outcome. Finally, robustness test using exogenous control variables are carried out.

A positive impact of SPFTZ is found on IUGVC, which is due to promoting effect of SPFTZ on foreign direct investment and technological innovation. Based on the study's findings, policy recommendations are given, such as providing business support to enterprises operating inside a PFTZ.

From a GVC perspective, the impact of theSPFTZ establishment on IUGVC cannot be ignored, and is so far missing in the literature.

The purpose of this study is to apprise mobile loyalty to halal food purchasing, including food quality, mobile quality, perceived value and satisfaction as its causes, and analyze the halal trust and health risk moderating role on the connections between mobile loyalty and its determinants.

A total of 307 responses from millennial Muslims were collected from the Bandung region of Indonesia via an online survey. Partial least squares modeling was applied to review the proposed mobile loyalty model.

This research found that the mobile loyalty model integrating halal food quality, mobile service quality, perceived value and satisfaction has satisfactory goodness of fit. The research confirms the function of mobile service quality but not halal food quality as drivers of mobile loyalty. Next, this study suggests that halal trust and health risks do not moderate the association between mobile loyalty and its determinants.

This study recommends that managers devote resources to upgrading the quality of their mobile apps to build loyalty. Offering high-quality halal food is also an important driver of millennial Muslim satisfaction.

To the best of the authors’ knowledge, this research is the first to investigate mobile loyalty in halal food.

This paper aims to examine the informational value of credit rating changes for investors. The article analyses whether credit rating changes indicate the future financial performance of a firm.

The study employs pooled time-series cross-section regression technique and two-sample t-test for analysis. The paper utilizes a firm's operating profit as a proxy of its future financial performance to understand what inference can be drawn about future financial performance from a change in a firm's credit rating.

The paper finds that a firm operating profit declines in the year after a credit rating downgrade. However, no such significant relationship is evident in the case of a rating upgrade. The results are consistent across rating categories and individual years of the sample period.

The study uses non-financial corporate rating data; hence, the findings may not apply to credit rating changes in financial corporates and structured finance.

Investors and analysts can incorporate credit rating downgrade by CRAs as a key input in a firm's future financial forecast. Analysts and investment managers can also look at credit rating changes of firms in the same industry and draw a definite conclusion about which firm is likely to see a higher deterioration in performance.

The author has not come across any literature that directly investigates credit rating changes from the perspective of information content about future financial performance.