Search results

Digital technologies (DTs) are one of the most important and beneficial ways to enhance the effectiveness of supply chain finance activities. Based on resource orchestration theory, the purpose of this study is to apply the “resources-capability-performance” framework to investigate how DT deployment (in terms of both breadth and depth) impacts supply chain financing performance (SCFP).

Hierarchical regression analysis was applied in the theoretical modeling examination. Through the sample of 380 survey questionnaires from the Chinese manufacturing industry, this study empirically validated the proposed model.

Results of this study present that both the breadth and depth of DT deployment positively impact SCFP, whereas supply chain transparency (SCT) acts as a mediator between them. Moreover, financing alignment positively moderates the relationship between the breadth of DT deployment and SCT.

From an integrated perspective, this study highlights the dual deployment ways of DTs to improve SCFP. Moreover, this research further enriches and extends the application of resource orchestration theory by providing theoretical mechanisms for the mediating role of SCT and elucidating the moderating role of financing alignment.

This paper aims to propose and verify an improved cascade active disturbance rejection control (ADRC) scheme based on output redefinition for hypersonic vehicles (HSVs) with nonminimum phase characteristic and model uncertainties.

To handle the nonminimum phase characteristic, a tuning factor stabilizing internal dynamics is introduced to redefine the system output states; its effective range is determined by analyzing Byrnes–Isidori normalized form of the redefined system. The extended state observers (ESOs) are used to estimate the uncertainties, which include matched and mismatched items in the system. The controller compensates observations in real time and appends integral terms to improve robustness against the estimation errors of ESOs.

Theoretical and simulation results show that the stability of internal dynamics is guaranteed by the tuning factor and the tracking errors of external commands are globally asymptotically stable.

The control scheme in this paper is expected to generate a reliable way for dealing with nonminimum phase characteristic and model uncertainties of HSVs.

In the framework of ADRC, a concise form of redefined outputs is proposed, in which the tuning factor performs a decisive role in stabilizing the internal dynamics of HSVs. By introducing an integral term into the cascade ADRC scheme, the compensation accuracy of matched and mismatched disturbances is improved.

This study aims to examine the impact of the regulatory focus of the top management team (TMT) members on the technological diversification of firms in high-technology industries based on the upper echelons theory and regulatory focus theory and explore the moderating effect of environmental uncertainty.

This paper uses data on the Chinese Growth Enterprises Market Board (GEM)-listed companies from 2012 to 2016. The authors collected data on TMT regulatory focus from firms’ annual reports by Python programming. A fixed-effects model was used to test our hypotheses.

Results indicate that TMTs with a high promotion focus are associated with greater technological diversification, while TMTs with a high prevention focus are linked to lower technological diversification. Moreover, environmental uncertainty amplifies the positive relationship between promotion-focused TMTs and technological diversification, while it diminishes the negative relationship between prevention-focused TMTs and technological diversification.

This study is limited to high-technology firms listed on the Chinese GEM, which may restrict the generalizability of the findings. Future research could validate these results in different countries and industries to enhance their robustness. Additionally, this study focuses on the impact of TMT regulatory focus on technological diversification; future studies could explore its influence on other strategic decisions, such as digital transformation or innovation strategies.

The results suggest that firms should carefully consider the regulatory focus of their TMT when making strategic decisions regarding technological diversification. Boards of directors should ensure that the TMT’s regulatory focus aligns with the firm’s strategic objectives, particularly in high-technology industries. Moreover, firms should adapt their strategies to the level of environmental uncertainty to better navigate the risks and opportunities presented by a dynamic market environment.

Supportive evidence allows authors to discuss how our findings contribute to the upper echelons theory, as well as the emerging stream of firm technological diversification, which provided valuable psychological insights into the factors influencing TMT strategic decision-making. Meanwhile, this paper integrates the factors of the industry macro-environment to explore the changes in the TMT regulatory focus on firm technological diversification under different contexts.

Traditionally, the banking and financial sectors have pioneered adoption of new technologies and business models. One important digital banking model that has proven its efficacy in recent times, is Digital-Only Banking (DOB) where consumers interact with their banks through digital channels only. Having detailed knowledge of what actually happens at the consumer level during the adoption of new digital models and technologies is paramount to the success of these technological initiatives. The present study aims to investigate DOB adoption behavior and possible barriers using a quantitative approach at the consumer level. A conceptual model is developed by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model, incorporating Trust (TR), Perceived Risk (PR) constructs and cultural moderators of Individualism (IDV) and Uncertainty Avoidance (UA).

For this study, an online survey instrument was created and administered in Iran. The research sample was selected through the application of purposive sampling. Data from 788 respondents were analyzed. The proposed model was tested using Partial Least Square.?.s Structural Equation Modeling (PLS-SEM).

The results show that DOB adoption is positively influenced by Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC), while PR negatively influences DOB adoption intention. Unexpectedly, the results indicate that TR has no significant impact on DOB usage intention. Additionally, this study demonstrates that with individuals having a low level of IDV, the relationship between PE and BI is stronger, and with individuals having a low level of UA, the impact of SI on BI is stronger. It also reveals that the impact of TR on BI is stronger in low individualistic cultures.

DOB providers should enhance support features of their services or provide facilities that make it simpler for users to accomplish online transactions. Here, in order to improve the UI/UX design of their apps, DOB product managers should carefully observe the technical guidelines of the operating systems of digital devices, such as the Human Interface Guidelines (HIG) for iOS and Material You for Android. Additionally, DOB providers should build partnerships with mega online retailers to provide hassle-free and easy to use payment solutions for consumers.

DOB, as a novel and business model, has been investigated in very few studies, especially regarding any which focus on its adoption. To fill this gap, this research investigates DOB adoption through a modified version of the UTAUT model. The findings of this study suggest that future research regarding DOB should consider sources of TR, types of non-adopters, and context. This study, as the first of its kind in DOB literature, also highlights the significant role played by cultural values in customer behavior regarding DOB adoption.

The failure rate of international construction joint venture (ICJV) projects has been noted to be high in developing countries due to the complexity and risky nature of construction projects in the international market. The purpose of this study is to identify and evaluate the risks facing ICJV projects in Ghana.

A risk register was developed through a comprehensive literature review. The identified risks were then used in a questionnaire survey involving local and foreign partners in ICJV projects in Ghana.

From a total of 74 risks identified, categorized into country-level risks, market-level risks and project-level risks, the “top ten” risks found to be the most critical risks facing ICJV projects in Ghana include unstable currency exchange rates, inflation, design changes, high-interest rate, budget overrun, cash flow problems of the client, economy fluctuation, difficulty in obtaining approval of projects from host government authorities/bureaucracy, potential financial distress of JV partner and bribery and corruption.

This study provides a comprehensive list of risks ICJV partners are likely to encounter on their projects in developing countries. Furthermore, this study improves on one of the major limitations of previous ICJV studies by collecting data from both partners of the ICJV, appropriate for cross-cultural examination and comparison.

This study investigates the impact of supply chain governance (SCG, which includes relational governance and contractual governance) on supply chain resilience (SCR) using the information processing theory. Moreover, the study also examines the mediating role of information processing capability and the moderating role of digital technology (DT) deployment.

A total of 288 questionnaires were collected from the Chinese manufacturing industry, and hierarchical regression was used to empirically test the proposed model.

This study reveals that SCG positively impacts SCR. Moreover, information processing capability plays a mediating role between SCG and SCR. Furthermore, the breadth of DT deployment positively moderates the effect of relational governance on information processing capability, and the depth of DT deployment positively moderates the effects of both relational governance and contractual governance on information processing capability.

This study offers a novel perspective that helps to understand the importance of the supply chain-wide information acquired by SCG in respect of improving SCR. Furthermore, this article extends the application of information processing theory by providing empirical evidence of the mediating role of information processing capability and elucidating the moderating role of DT deployment.

Supply chain resilience (SCR) has attracted much attention in the context of the high uncertainty caused by the coronavirus disease 2019 (COVID-19), local regional conflicts and natural disasters. Based on information processing theory (IPT), this study investigates the role of supply chain information processing capability in enhancing SCR through supply chain governance (SCG), under different conditions of environmental uncertainty.

The hypothetical model is tested by using hierarchical regression on the primary samples collected from the Chinese manufacturing industry.

The results indicate that supply chain information processing capability has a significant positive effect on SCR. Also, SCG plays a mediating role between supply chain information processing capability and SCR. Furthermore, environmental uncertainty positively moderates the effect of supply chain information acquisition and supply chain information analysis on relational governance. However, environmental uncertainty only positively moderates the effect of supply chain information analysis on contractual governance.

This is the first study to explain the effect of information processing capability on SCR from the supply chain perspective, while also exploring the mediating role of SCG between SCR and supply chain information processing capacity, based on IPT.

Drawing on affective events theory, the purpose of this study is to examine the mediation effect of positive affect on the association between fit (e.g. person-organization fit and person-job fit) and organizational commitment in the hospitality industry. The secondary aim is to investigate the moderated mediation effect of hospitality employees’ calling on these associations.

The authors collected data from 248 hotel employees in China at three different time points. A moderated mediation model was examined by using the bias-corrected bootstrapping method.

Results revealed that person-organization fit and person-job fit indirectly influenced organizational commitment via positive affect. Calling was found to moderate the indirect influences of person-organization and person-job fit on organizational commitment via positive affect.

Managing employees’ affective experiences in the hospitality industry and promoting their organizational commitment are key strategies for hospitality organizations to promote service quality and retain their employees. This study suggests that hospitality organizations should actively attempt to improve employees’ fit perceptions and promote their sense of calling.

By theorizing and investigating the mediating role of positive affect and the moderating role of calling in the association between fit and employee commitment, this research extends existing knowledge on the association between fit–job attitudes and makes notable contributions to the hospitality literature on fit, affect, calling and job attitudes.

The purpose of this study is to examine how the quality management of small and medium-sized enterprises (SMEs) impacts their supply chain financing performance (SCFP). This study also investigates the mediating roles of organisational dependence between quality management and the SCFP of SMEs, as well as the moderating role of environmental dynamics.

Questionnaires were administered to 248 financial managers responsible for supply chain finance (SCF) in SMEs in China. Data analysis techniques used include necessary condition analysis and multiple regression analysis.

Research findings show that, in SCF, the quality management of SMEs positively predicts their SCFP through the mediation of the organisational dependence of the focal enterprises in the supply chain network. Environmental dynamics are also found to moderate the relationship between quality management and SCFP through the organisational dependence of capital providers.

To the best of our knowledge, this is the first study to explore the relationships between SMEs' quality management and their SCFP. Also, this study provides a new theoretical lens through which to study SCF by introducing signalling theory.

This study aims to explore the effect of collaboration networks (domestic and international collaboration networks) on the innovation performance of small and medium-sized enterprises (SMEs). It also investigates the mediating role of business model innovation, the moderating role of entrepreneurial orientation and government institutional support between them.

Hierarchical regression analysis is adopted to test the hypotheses based on survey data provided by 223 manufacturing SMEs in China.

The results reveal that domestic and international collaboration networks positively affect SMEs' innovation performance. Business model innovation mediates domestic and international collaboration networks-SMEs’ innovation performance relationships. Entrepreneurial orientation positively moderates international collaboration networks–SMEs’ innovation performance relationship, and government institutional support positively moderates domestic and international collaboration networks–SMEs’ innovation performance relationships.

The findings indicate that managers of SMEs should invest in domestic and international collaboration networks and business model innovation to enhance SMEs' innovation performance. Moreover, entrepreneurial orientation and government institutional support should be valued when SMEs try to enhance their innovation performance by embedding in domestic and international collaboration networks.

This study broadens the authors' understanding of the relationship between collaboration networks and firms' innovation performance by classifying collaboration networks into domestic and international dimensions and investigating their direct impacts on SMEs' innovation performance. Besides, this study reveals how and when domestic and international collaboration networks influence the innovation performance of SMEs.