Taohua Ouyang, Xin Cao, Jun Wang and Sixuan Zhang
In this study, the authors aim to address the following two research questions: (1) How do technology innovation paradoxes manifest themselves in technological changes? (2) How do…
Abstract
Purpose
In this study, the authors aim to address the following two research questions: (1) How do technology innovation paradoxes manifest themselves in technological changes? (2) How do incumbent firms manage technology innovation paradoxes through multi-level organizational ambidexterity? To do so, the authors examine technology innovation in cloud computing, which has taken shape and brought about changes to the information technology industry. Specifically, the authors examine how a traditional software company, China Standard Software Co., Ltd. (CS2C), successfully navigated the technological transition to cloud computing from its existing operating systems business by managing innovation paradoxes through multi-level ambidexterity capabilities.
Design/methodology/approach
This study examines a single exploratory case and conducts an in-depth analysis of how technology innovation paradoxes manifest themselves in technological changes and how incumbent firms manage technology innovation paradoxes through multi-level organizational ambidexterity. The data collection and analysis occurred simultaneously through three phases. In Phase 1, one of the authors who had worked at CS2C for many years enabled the authors to obtain access to the company. The data analysis during this phase provided the authors with the history and current situation of CS2C, enabling them to understand the external circumstances, such as particular historical period, and internal conditions, such as cultural and technological changes, that would be relevant throughout the course of their study. It also helped the authors identify organizational ambidexterity capability as the guiding theoretical concept for their research. In Phase 2, the authors engaged in site visits and conducted detailed interviews with employees working at CS2C. In Phase 3, most of the data analysis was conducted. When the interview data were not sufficient to support the theoretical analysis, additional data were collected via phone calls and emails, to assure data-theory-model alignment.
Findings
The authors’ findings show that technology innovation paradoxes manifest themselves as contradictory relationships and mutual support relationships between exploitative and exploratory innovation. In addition, the authors identify three integration mechanisms as key to multi-level organizational ambidexterity capabilities in managing technology innovation paradoxes in technological changes.
Originality/value
Three important theoretical implications can be drawn from our case analysis. First, this research contributes to the knowledge of innovation paradoxes during technological changes. Second, this research provides a model of multi-level organizational ambidexterity capability in technological changes. Third, this research proposes three integration mechanisms driven by three types of ambidexterity capability at different organizational levels.
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This paper aims to propose a novel approach which integrates collocations and domain concepts for Chinese cosmetic word of mouth (WOM) sentiment classification. Most sentiment…
Abstract
Purpose
This paper aims to propose a novel approach which integrates collocations and domain concepts for Chinese cosmetic word of mouth (WOM) sentiment classification. Most sentiment analysis works by collecting sentiment scores from each unigram or bigram. However, not every unigram or bigram in a WOM document contains sentiments. Chinese collocations consist of the main sentiments of WOM. This paper reduces the complexity of the document dimensionality and makes an improvement for sentiment classification.
Design/methodology/approach
This paper builds two contextual lexicons for feature words and sentiment words, respectively. Based on these contextual lexicons, this paper uses the techniques of associated rules and mutual information to build possible Chinese collocation sets. This paper applies preference vector modelling as the vector representation approach to catch the relationship between Chinese collocations and their associated concepts.
Findings
This paper compares the proposed preference vector models with benchmarks, using three classification techniques (i.e. support vector machine, J48 decision tree and multilayer perceptron). According to the experimental results, the proposed models outperform all benchmarks evaluated by the criterion of accuracy.
Originality/value
This paper focuses on Chinese collocations and proposes a novel research approach for sentiment classification. The Chinese collocations used in this paper are adaptable to the content and domains. Finally, this paper integrates collocations with the preference vector modelling approach, which not only achieves a better sentiment classification performance for Chinese WOM documents but also avoids the curse of dimensionality.
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Qi Flora Dong, Yiting Cao, Xin Zhao and Ashutosh Deshmukh
The effect of tax policy on the repatriation of foreign earnings is a topic of ongoing discussion among policymakers, academics, and the popular press. It has become more salient…
Abstract
The effect of tax policy on the repatriation of foreign earnings is a topic of ongoing discussion among policymakers, academics, and the popular press. It has become more salient due to the 2017 Tax Cuts and Jobs Act (TCJA), which permanently removed repatriation tax. This paper synthesizes the academic literature examining US multinational firms’ responses to the repatriation tax holiday initiated by the 2004 American Jobs Creation Act (AJCA), which temporarily reduced the tax on the repatriation of foreign earnings. By synthesizing firm responses to the temporary tax reduction, we identify similarities and differences in: (1) theories about why and when repatriation tax affects firms’ repatriation decisions; (2) empirical evidence of whether repatriation tax affects firms’ repatriation decisions; and (3) empirical evidence of whether repatriation tax affects firms’ investment decisions. The analyses provide insights into the effect of the permanent removal of repatriation tax under the TCJA and explore avenues for future research. This synthesis of the AJCA literature informs tax research and practice as well as policymaking.
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Yujun Cao, Xin Li, Zhixiong Zhang and Jianzhong Shang
This paper aims to clarify the predicting and compensating method of aeroplane assembly. It proposes modeling the process of assembly. The paper aims to solve the precision…
Abstract
Purpose
This paper aims to clarify the predicting and compensating method of aeroplane assembly. It proposes modeling the process of assembly. The paper aims to solve the precision assembly of aeroplane, which includes predicting the assembly variation and compensating the assembly errors.
Design/methodology/approach
The paper opted for an exploratory study using the state space theory and small displacement torsor theory. The assembly variation propagation model is established. The experiment data are obtained by a real small aeroplane assembly process.
Findings
The paper provides the predicting and compensating method for aeroplane assembly accuracy.
Originality/value
This paper fulfils an identified need to study how the assembly variation propagates in the assembly process.
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Abstract
This chapter outlines the philosophic underpinnings of the self-management paradigm developed over the past three decades by China’s Haier Group, a global leader in white goods. The successful transformation of Haier from a small resource-poor firm to a dominant global giant is often attributed to the self-management culture established in the company by its legendary leader Zhang Ruimin. This management paradigm is a function of the humbleness displayed by Mr. Zhang Ruimin and rooted in his strong belief in the traditional Chinese philosophy of I-Ching and Daoism. We show how the hexagram of Qian (“qian”: humbleness, modesty) from I-Ching is linked to Mr. Zhang’s humble approach and analyze how the six parts of the hexagram of Qian are related to the six development stages of the Haier Group. These insights are used to give some thoughts to the leadership challenge associated with the creation of a dynamic and responsive global organization.
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This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.
Abstract
Purpose
This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.
Design/methodology/approach
This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.
Findings
This paper identified that mobile commerce activities can significantly influence firm performance.
Originality/value
The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
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Yi Liu, Wei Wang and Zuopeng (Justin) Zhang
To better understand the role of industrial big data in promoting digital transformation, the authors propose a theoretical framework of industrial big-data-based affordance in…
Abstract
Purpose
To better understand the role of industrial big data in promoting digital transformation, the authors propose a theoretical framework of industrial big-data-based affordance in the form of an illustrative metaphor – what the authors call the “organizational drivetrain.”
Design/methodology/approach
This study investigates the effective use of industrial big data in the process of digital transformation based on the technology affordance–actualization theoretical lens. A software platform and services provider with more than 4,000 industrial enterprise clients in China was selected as the case study object for analyzing the digital affordance and actualization driven by industrial big data.
Findings
Drawing on a revelatory case study, the authors identify three affordances of industrial big data in the organization, namely developing data-driven customized projects, provisioning equipment-data-driven life cycle services, establishing data-based trust and determining affordance actualization actions driven by technology and market. In addition, the authors reveal the underlying drivetrain mechanisms to advance industrial big data affordance and actualization: stabilizing, enriching and pioneering.
Originality/value
This study builds a drivetrain model on digital transformation by industrial big data affordance actualization. The authors also provide practical implications that can help practitioners to implement digital transformation effectively and extract value from their investment.
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Muhammad Kashif, Chen Pinglu, Atta Ullah and Ningyu Qian
This study aims to examine the dynamic effect of FinTech on financial stability, with the moderating role of green finance (GF), its dimensions and mechanisms in the context of…
Abstract
Purpose
This study aims to examine the dynamic effect of FinTech on financial stability, with the moderating role of green finance (GF), its dimensions and mechanisms in the context of the spillover effects of the COVID-19 shock. This study used balanced panel data from 148 countries, including 76 developed and 72 emerging nations, from 2005 to 2022.
Design/methodology/approach
The research utilized the dynamic two-step system (GMM), and robustness was performed with the bootstrapped panel quantile regression.
Findings
The findings reveal that FinTech significantly affects financial stability across the entire sample. The overall composite of GF boosts financial stability by improving financial soundness. The GF dimensions, such as environmental, resource and financial, positively influence FS, while the GF economic dimension hurts FS. The moderating role and all interaction terms of GF dimensions with FinTech contribute positively and significantly to FS. While the interaction term GF resources with FinTech negatively impacts FS, indicating that countries should utilize resources more efficiently. Additionally, the COVID-19 spillover effect negatively influences FS across all samples. In advanced countries, FinTech and green finance positively affect FS. In emerging countries, green finance (except for the resource dimension) and FinTech interactions enhance financial stability, (except for the environmental dimension), leading to environmental hazards from their highly intensive industrial carbon policies.
Practical implications
The findings suggest that policymakers should prioritize promoting the adoption of initiatives related to FinTech and green finance by integrating sustainable transition finance policy frameworks to maintain stability and foster low-carbon economies for a sustainable future.
Social implications
Improved financial stability has more significant social effects, such as better investment instruments, confidence and economic growth. Policymakers can leverage these findings to establish resilient financial ecosystems, fostering sustainable economic development and decreasing the risk of financial crises.
Originality/value
This study offers novel insights into how FinTech and multi-dimensional green finance effect financial stability in advanced and emerging nations. It provides unique insights into context-specific dynamics and enhances the literature on financial stability.
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Lanlan Cao, Xin Liu, Laura Trinchera and Mourad Touzani
This study explores key dimensions of mobile commerce activities (MCAs), evaluates their impact on firm performance and examines the role of mobile commerce performance as a…
Abstract
Purpose
This study explores key dimensions of mobile commerce activities (MCAs), evaluates their impact on firm performance and examines the role of mobile commerce performance as a mediator and the role of industry competitive intensity as a moderator.
Design/methodology/approach
The qualitative research identified 21 principal retailers’ MCAs. A survey involving 172 retail executives was then conducted to examine the structure of MCAs and their impacts on firm performance.
Findings
Our findings reveal that the MCAs comprise four dimensions: guidance, connection, in-store conversion and relation. These dimensions jointly impact firm performance through mobile commerce performance, moderated by industry competition.
Research limitations/implications
This study provides a foundational understanding of MCAs. Future research should continue to explore how these dimensions interact.
Practical implications
Retailers can enhance their management of MCA investments by focussing on four key areas: guidance, contact, in-store conversion and relation. By customizing activities and prioritizing those that strengthen customer relationship management within one area, retailers can effectively align their MCA strategies with their specific business context.
Originality/value
The study’s originality lies in identifying and empirically testing the dimensionality of MCAs, emphasizing the role of customer-centric mobile performance and expanding the understanding of MCA value creation.
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Yanqiu Xia, Chuan Chen, Xin Feng and Zhengfeng Cao
The purpose of this paper is to synthesize a kind of core-shell Ag@polyaniline (Ag@PAN) as a lubricant additive to improve the friction reduction and anti-wear abilities of…
Abstract
Purpose
The purpose of this paper is to synthesize a kind of core-shell Ag@polyaniline (Ag@PAN) as a lubricant additive to improve the friction reduction and anti-wear abilities of lithium-based complex grease.
Design/methodology/approach
The core-shell Ag@PAN was prepared by a simple method and was introduced into the lithium-based complex grease. The typical properties of Ag@PAN were investigated by scanning electron microscopy (SEM), Fourier transforms infrared spectrometer and thermal gravimetric analyzer. The tribological properties were evaluated under different conditions. After the tribological test, the worn surface was analyzed by SEM and X-ray photoelectron spectroscopy to probe the lubrication mechanisms.
Findings
The prepared Ag@PAN could greatly improve the friction reduction and wear resistance of the friction pair under different conditions. The preferable tribological performances were mainly attributed to the synergism of various lubrication mechanisms including “mending effect,” “rolling effect” and lubricating protective film, and so on.
Originality/value
This study synthesizes a new kind of core-shell Ag@PAN as a lubricant additive, and it possesses preferable friction reduction and anti-wear abilities.