Shih-Chieh Fang and Hung Ku Chen
The purpose of this paper is to develop different kinds of organizational learning mechanisms based on various types of strategic intents (proactive- and reactive-orientation) and…
Abstract
Purpose
The purpose of this paper is to develop different kinds of organizational learning mechanisms based on various types of strategic intents (proactive- and reactive-orientation) and organizational environments (stable and unstable).
Design/methodology/approach
The authors utilized a grounded theory approach, and corroborated the results using multiple interviews and documents related to various cases. The authors determined the inter-judge agreement and performed a composite reliability analysis to ensure the robustness of the research.
Findings
Successful organization learning is contingent upon managerial strategic intent and the organizational environment in which the organization operates. Proactive strategic intent will cultivate a group-oriented learning system, whereas reactive strategic intent emphasizes the effectiveness of personal learning. Firms in an environment marked by radical change utilize experiential learning mechanisms (participation- and experience-orientation), whereas firms in a stable environment use a specialist-knowledge-oriented approach to learning (benchmarking- and specializing-orientation).
Originality/value
The authors offer a theoretical framework two-by-two matrix that has practical implications in providing managers with guidance in selecting the appropriate organizational learning mechanism to implement in their firms.
Details
Keywords
Yunlong Duan, Kun Wang, Hong Chang, Wenjing Liu and Changwen Xie
This paper aims to investigate the following issues: the mechanisms through which different types of top management team’s social capital influence the innovation quality of…
Abstract
Purpose
This paper aims to investigate the following issues: the mechanisms through which different types of top management team’s social capital influence the innovation quality of high-tech firms, and the moderating effect of organizational knowledge utilization on the relationship between top management team’s social capital and innovation quality in high-tech firms.
Design/methodology/approach
This study categorizes top management team’s social capital into political, business and academic dimensions, investigating their impact on innovation quality in high-tech firms. Furthermore, a research model is developed with organizational knowledge utilization as the moderating variable. Data from Chinese high-tech firms between 2010 and 2019 are collected as samples for analysis.
Findings
The innovation quality of high-tech firms shows an inverted U-shaped trend as the top management team’s political capital and business capital increase. The top management team’s academic capital has a significantly positive correlation with the innovation quality of high-tech firms. Moreover, organizational knowledge utilization plays a significant moderating role in the relationship between the top management team’s social capital and innovation quality in high-tech firms.
Originality/value
This study explores the relationship among different dimensions of top management team’s social capital, innovation quality and organizational knowledge utilization. It holds significant theoretical value in enriching and refining the interactions between top management team’s social capital, knowledge management theory and innovation management theory. In addition, it offers important practical implications for firms to rationally approach top management team’s social capital, emphasize top management team configuration management and establish a comprehensive and efficient organizational knowledge utilization mechanism.
Details
Keywords
Catarina Proença, Mário Augusto and José Murteira
This study aims to investigate the role of board gender diversity in explaining the effects of board members’ political connections on banking performance in the Eurozone.
Abstract
Purpose
This study aims to investigate the role of board gender diversity in explaining the effects of board members’ political connections on banking performance in the Eurozone.
Design/methodology/approach
This paper analyses panel data on 83 banks supervised by the European Central Bank (ECB) for the period 2013–2017, using a generalized moment method-type estimation methodology.
Findings
Results suggest that when gender diversity is high, there is a U-shaped nonlinear relationship between political connections and banking performance. Empirical evidence also indicates that differentiating characteristics of women, such as greater ethical concern and risk aversion, help mitigate the negative effects of political connections on banking performance, safeguarding the institutions’ interests from the adverse effects of personal agendas. In addition, these results also suggest that a minimum of 14% of gender diversity can contribute to greater social justice and beneficial structural change.
Research limitations/implications
The period studied may not yet fully reflect the impact of the assessment of the board members’ suitability.
Practical implications
The paper contributes to the growing literature on political connections and gender diversity, providing greater insight into their role as determinants of banking performance. The study also suggests the benefits and possible limitations of the regulator’s two impositions – gender diversity quotas and members’ repute (members’ political connections).
Originality/value
The effect of gender diversity on the impact of board members’ political connections on banking performance has not been studied, as these relationships have not been analysed separately for banks directly supervised by the ECB.
Details
Keywords
Jiunn-Woei Lian, Chih-Teng Chen, Li-Fang Shen and Hung-Ming Chen
The purpose of this study is to explore the critical factors that affect users’ acceptance and usage intention toward blockchain-based smart lockers.
Abstract
Purpose
The purpose of this study is to explore the critical factors that affect users’ acceptance and usage intention toward blockchain-based smart lockers.
Design/methodology/approach
The research is designed in two phases. In the first phase, the key stakeholders are interviewed. Participants include managers from technology providers and logistics companies. In the second phase, a questionnaire survey is used to validate the proposed model.
Findings
Based on the final results, this study makes the following three suggestions. First, perceived usefulness and perceived ease of use are the critical factors. In other words, it is important to emphasize the function and convenience of a new service when introducing it to a potential user. Second, safety is not the major concern when using a blockchain-based smart locker. This means that users will trust the service provider for providing a secure service. Users do not worry about the security problem. Finally, the network externality of smart locker is also insignificant.
Originality/value
This study has three major contributions. First, this study identifies the critical factors that will affect user acceptance of blockchain-based smart lockers. Next, this study combines the opinions from service providers and users to understand the gap between different stakeholders. Finally, this study can enrich our understanding on the applications of blockchain from a managerial perspective and not only from a technical perspective, as in most previous studies.
Details
Keywords
Jianming Wang, Tan Vo-Thanh, Yi-Hung Liu, Thac Dang-Van and Ninh Nguyen
On the basis of the approach-avoidance motivation theory, this study aims to examine the role of information confusion in influencing consumer switching intention among social…
Abstract
Purpose
On the basis of the approach-avoidance motivation theory, this study aims to examine the role of information confusion in influencing consumer switching intention among social commerce platforms, with the mediating effect of emotional exhaustion and the moderating role of social overload.
Design/methodology/approach
This study applied a multi-method quantitative approach including a survey and two experiments. Data were obtained from consumers on popular social commerce platforms in China. The survey's sample size was 327 respondents, whereas a total of 1,621 consumers participated in the two experiments.
Findings
Findings from the survey reveal that information confusion affects switching intention directly and indirectly via emotional exhaustion. Moreover, social overload moderates the emotional exhaustion–switching intention relationship and the indirect impact of information confusion on switching intention. Results of the two experiments further confirm the relationships found in the survey.
Originality/value
This study develops and validates a mediation and moderation model which expectedly serves as a framework to better explain consumer switching intention on social commerce platforms. The study also offers fresh insights into consumer switching intention in the unique context of social commerce in an emerging market (i.e. China), which has been largely ignored in the prior literature.
Details
Keywords
You-Hung Lin, Hsin Hsin Chang and Chun Po Chiu
This study aims to develop a conceptual model for GET products that participate in brands’ online communities, based on social cognitive theory (SCT), with environmental factors…
Abstract
Purpose
This study aims to develop a conceptual model for GET products that participate in brands’ online communities, based on social cognitive theory (SCT), with environmental factors, personal factors and behavioral factors being used to explore whether users of GET products participate in brand online communities as well as to determine whether participation in a community forum causes users to stick with GET products. In addition, expectancy confirmation is also considered in the research model.
Design/methodology/approach
This research examines whether environmental and personal factors have a positive effect on the behavioral factors of Gogoro users, and then further effects on green energy technology (GET) product stickiness for users in online communities. A website was used to distribute links to two Facebook club sites: Gogoro Series 2 Fan Club and the Gogoro Fan Club. The respondents’ qualification criteria were restricted to people who had used Gogoro products and participated in a Gogoro online community. A total of 581 valid responses were collected for structural equation modeling (SEM) analysis, and expectancy confirmation was found to be moderate from a hierarchical regression.
Findings
The results of SEM show that virtual interactivity has a positive effect on product-related content, and social norms were found to have significant effects on creating product-related content. Brand community identification, perceived relative advantage and brand knowledge self-efficacy are found to be related to both creating and contributing product-related content. Also, creating product-related content and contributing user participation behaviors influence ET product stickiness.
Practical implications
Online community managers can boost user participation by increasing interaction, and community identification by enhancing users’ perceptions of benefiting from participating in their communities. Companies can also encourage users to create product-related content to increase users’ stickiness to GET products. Further, GET companies can try to enhance users’ intrinsic connection with other community users to increase their brand community identification if they want to increase users’ willingness to participate.
Originality/value
This study adopted SCT to measure the GET product stickiness formation process in an attempt to determine what factors boost user participation based on triadic reciprocality. Also, expectancy confirmation plays an important role in the relationship between community users’ participation behaviors and GET product stickiness. The results indicated that it was appropriate to add virtual interactivity to environmental factors and perceived relative advantage to personal factors to measure users’ participation in an online social community. Actual product users’ online community participation behavior could be a very influential indicator of actual product stickiness formation.
Details
Keywords
Edward C.S. Ku and Chun-Der Chen
This study examines how customer-linking capabilities, the flexibility of back-end management systems, strategic agility and the perceived absorptive capacity of e-commerce…
Abstract
Purpose
This study examines how customer-linking capabilities, the flexibility of back-end management systems, strategic agility and the perceived absorptive capacity of e-commerce influence the organizational performance of online sellers.
Design/methodology/approach
A performance model based on the adaptive structuration theory was employed to test the hypotheses using structural equation modeling (SEM) on a dataset of 325 samples with acceptable responses.
Findings
The results reveal that the customer-linking capability and flexibility of back-end management systems, strategic agility and assimilation of e-commerce activity significantly influence organizational performance in a virtual environment.
Originality/value
The agility of online sellers is becoming increasingly important, and from the perspective of adaptive structuration theory, back-end management systems have been built to manage buyer orders for online sellers.
Details
Keywords
Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects…
Abstract
Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.
Details
Keywords
Ryan Scrivens, Tiana Gaudette, Garth Davies and Richard Frank
Purpose – This chapter examines how sentiment analysis and web-crawling technology can be used to conduct large-scale data analyses of extremist content online.Methods/approach �…
Abstract
Purpose – This chapter examines how sentiment analysis and web-crawling technology can be used to conduct large-scale data analyses of extremist content online.
Methods/approach – The authors describe a customized web-crawler that was developed for the purpose of collecting, classifying, and interpreting extremist content online and on a large scale, followed by an overview of a relatively novel machine learning tool, sentiment analysis, which has sparked the interest of some researchers in the field of terrorism and extremism studies. The authors conclude with a discussion of what they believe is the future applicability of sentiment analysis within the online political violence research domain.
Findings – In order to gain a broader understanding of online extremism, or to improve the means by which researchers and practitioners “search for a needle in a haystack,” the authors recommend that social scientists continue to collaborate with computer scientists, combining sentiment analysis software with other classification tools and research methods, as well as validate sentiment analysis programs and adapt sentiment analysis software to new and evolving radical online spaces.
Originality/value – This chapter provides researchers and practitioners who are faced with new challenges in detecting extremist content online with insights regarding the applicability of a specific set of machine learning techniques and research methods to conduct large-scale data analyses in the field of terrorism and extremism studies.
Details
Keywords
Using features of social media, peer-to-peer (P2P) mobile payment enables users to foster social interaction every time transactions are made. Given the increasing popularity of…
Abstract
Purpose
Using features of social media, peer-to-peer (P2P) mobile payment enables users to foster social interaction every time transactions are made. Given the increasing popularity of social features in P2P mobile payment applications, it is worth understanding how these components contribute to users’ switching behavior between conventional mobile payment and P2P mobile payment services. By treating sociability of P2P mobile payment as a pull factor, this study aims to extend the push–pull–mooring framework in the context of P2P mobile payment.
Design/methodology/approach
A questionnaire survey was conducted to obtain data. Respondents from the USA were exclusively selected due to the emerging number of P2P mobile payment users and the volume of transactions in this country. Based on a sample of 232 Amazon Mechanical Turk mobile payment users, the authors tested the hypotheses using the partial least squares structural equation model technique with SmartPLS software version 3.
Findings
The finding reveals that sociability is triggered by social presence, social benefit and social support within the P2P mobile payment platform. Moreover, dissatisfaction with perceived enjoyment of conventional mobile payment (push factor), customer innovativeness (mooring factor) and sociability of P2P mobile payment (pull factor) jointly influence users’ intention to switch to P2P mobile payment services, and subsequently drive their migration behavior.
Originality/value
Unlike past research that mainly focuses on utilitarian-related factors, to the best of the authors’ knowledge, this study is among the first to thoroughly examine the sociability features of P2P mobile payment service as a form of a social-centric system.