Search results

The purpose of this paper is to explore the impact of donation amount and framing on financial products, this research investigates consumers’ attitudes and behaviors toward cause-related credit cards with different donation sizes and framing types.

This research investigates consumers’ perceptions of green credit cards using two experiments with a between-subject design (n =297) and a mixed design (n =238), respectively. All the participants, recruited from a major state university in the USA, are undergraduate students who use credit cards.

A medium-size donation optimizes the outcome of a cause-related credit card offer. Moreover, a donation framed as cash rewards has stronger effects on a consumer’s perception and consequent reactions to the “green” credit cards than an annual percentage rate framing. Finally, consumers with high levels of environmental concern and propensity to volunteer have stronger intention to adopt and are more likely to recommend the proposed credit card.

Building upon the theories of social exchange and symbolic interaction, this research is the first to provide empirical evidence regarding the application of volunteerism and perceived consumer effectiveness for financial institutions and their cause-related marketing campaign partners in selecting suitable environmental causes.

Aiming to resolve cross-cultural paradoxes in combining artificial intelligence (AI) with human intelligence (HI) for international humanitarian logistics, this paper aims to adopt an unorthodox Yin–Yang dialectic approach to address how AI–HI interactions can be interpreted as a sophisticated cross-cultural knowledge creation (KC) system that enables more effective decision-making for providing humanitarian relief across borders.

This paper is conceptual and pragmatic in nature, whereas its structure design follows the requirements of a real impact study.

Based on experimental information and logical reasoning, the authors first identify three critical cross-cultural challenges in AI–HI collaboration: paradoxes of building a cross-cultural KC system, paradoxes of integrative AI and HI in moral judgement and paradoxes of processing moral-related information with emotions in AI–HI collaboration. Then applying the Yin–Yang dialectic to interpret Klir’s epistemological frame (1993), the authors propose an unconventional stratified system of cross-cultural KC for understanding integrative AI–HI decision-making for humanitarian logistics across cultures.

This paper aids not only in deeply understanding complex issues stemming from human emotions and cultural cognitions in the context of cross-border humanitarian logistics, but also equips culturally-diverse stakeholders to effectively navigate these challenges and their potential ramifications. It enhances the decision-making process and optimizes the synergy between AI and HI for cross-cultural humanitarian logistics.

The originality lies in the use of a cognitive methodology of the Yin–Yang dialectic to metaphorize the dynamic genesis of integrative AI-HI KC for international humanitarian logistics. Based on system science and knowledge management, this paper applies game theory, multi-objective optimization and Markov decision process to operationalize the conceptual framework in the context of cross-cultural humanitarian logistics.

This study aims to present the critical role of knowledge management in digital entrepreneurship by reviewing the literature and proposing future research directions for digital entrepreneurship and knowledge management through an interdisciplinary framework.

This study uses the Derwent Data Analyzer to identify and visualise the extant studies on digital entrepreneurship. This study qualitatively analyses the hot topics and trends in digital entrepreneurship research to understand digital entrepreneurship from the knowledge management perspective.

The authors found two dominant trends in existing research: logical and development trend exploration at the theoretical background and empirical research at the practical dimension. To understand digital entrepreneurship from a knowledge management perspective, the authors summarised the theoretical logic and internal and external reasons why knowledge management is required in digital entrepreneurship. Moreover, the authors analysed the new features of digital entrepreneurship under five aspects: management concept, object, content, scope and focus. The authors concluded that existing research on integrating knowledge management and digital entrepreneurship is primarily conducted from three perspectives: technology, platform and ecosystem.

This study provides an in-depth analysis of digital entrepreneurship from a knowledge management perspective. The findings can further promote the theoretical research and practical development of digital entrepreneurship and knowledge management. This approach provides a new direction for interdisciplinary study and enriches entrepreneurship research. In addition, this study proposes a knowledge management framework for digital entrepreneurship research. The findings contribute to understanding the role and function of knowledge management in digital entrepreneurship.

The purpose of this paper is to contribute to the extant literature about the co-evolvement of Business Process Management (BPM) and the Internet of Things (IoT) by proposing the IoT-enabled Context-aware BPM (IoT-CaBPM) framework to bridge from the IoT infrastructure to context-aware business processes.

Motivated by the “Three Waves” of BPM research, IoT-enabled context-awareness is, therefore, expected to be achieved for enhancing the business process design, which pilots a new wave of BPR (Business Process Redesign/Reengineering) to enable the business process coevolve with IoT and analytics. This paper reports an illustrative case study of BPR in a Chinese bulk port, one of the hub seaports that widely adopted IoT technologies over the last few years.

The IoT implementation and data analytics has increased the efficiency and improve the monitoring effectively. The proposed IoT-CaBPM framework availably helps to identify and match nodes of IoT devices, business decisions and analytic models in order to redesign a business process towards context-aware variability. As IoT is rapidly becoming the new dominant IT paradigm is moving towards mature implementation in various industries, the corresponding BPR must be planned and executed strategically for achieving better benefits.

Despite some research extend BPM standard by integrating IoT devices as a sort of resources or report generically that the ports operations are affected by IoT, there is still a lack of layers from the IoT infrastructure to context-aware business processes. An industrial BPR case with business models in detail is also a lack for presenting the specific implications and effectiveness of the adoption of such technologies. This paper fills in this gap.

The key to the success of multinational corporations’ (MNCs) business models is the improvement of their innovation quality. From the cross-border knowledge management perspective, this paper aims to analyze the improvement path of innovation quality of MNCs and construct the functional path of the relationships among the knowledge creation, knowledge application and innovation quality of MNCs in the cross-border knowledge management process, so as to achieve the success of their business models. Based on this, this paper introduces cultural distance to further analyze how such relationships will change with the cultural distance level.

Using data from Chinese A-share listed MNCs with production operations located in the Asia-Pacific region from 2014 to 2018, this paper constructs a panel data model to test the mediating effect of knowledge application and the moderating effect of cultural distance on such relationships.

This paper obtains the following research findings: knowledge creation and knowledge application each have a significant, inverted U-shaped relationship with innovation quality; knowledge creation has a significantly positive correlation with knowledge application and knowledge application has a partial mediating effect on the relationship between knowledge creation and innovation quality; cultural distance has a moderating effect on such relationships. The specific moderating direction depends on the extent of the knowledge creation and knowledge application.

The findings are helpful to MNCs’ managers, providing guidance and serve as a reference for them to make strategic decisions on cross-board knowledge management and business models innovation.

The theoretical contributions are summarized as follows: First, it further enriches and expands the theoretical of knowledge management and innovation quality relationship. Second, it further enriches and expands the theoretical framework of knowledge management. Third, it further enriches the theoretical framework of cross-cultural management.

To better understand executive communication on social media, the purpose of this paper is to examine the pattern of messages posted by chief executive officers (CEOs) on Twitter and their retweetability (rate of reposting by other users).

The study data comprises 1,068 original tweets randomly selected from all Fortune 1000 CEOs’ tweets in 2014. The impact of the contextual factors (industry background, activeness, and Twitter age) and content factors (content types, supplementary information, and linguistic features) on retweetability was examined through regression analyses.

CEOs tweet to share information and insights, to promote their companies or products, to update work or life status, and to interact with the public. Original insights, promotional messages, and seasonal greetings were most likely to be retweeted. CEOs’ backgrounds, usage of hashtags, and certainty of language were also positively associated with retweetability.

CEOs may enhance their online social influence through demonstrating leadership by sharing insights about their organization or industry and posting topical messages (e.g. season’s greetings). Furthermore, CEOs could use hashtags strategically to initiate or participate in discussions and promote their personal visibility.

This study is one of the first to evaluate how leaders of the largest companies in the USA communicate on Twitter. It contributes to a theoretical understanding of the factors underlying online influence – the influence of the status of the online communicator vs the message content on information forwarding.

The purpose of this paper is to propose a numerical prediction method of buckling loads for shell structures under axial compression and thermal loads based on vibration correlation technique (VCT).

VCT is a non-destructive test method, and the numerical realization of its experimental process can become a promising buckling load prediction method, namely numerical VCT (NVCT). First, the derivation of the VCT formula for thin-walled structures under combined axial compression and thermal loads is presented. Then, on the basis of typical NVCT, an adaptive step-size NVCT (AS-NVCT) calculation scheme based on an adaptive increment control strategy is proposed. Finally, according to the independence of repeated frequency analysis, a concurrent computing framework of AS-NVCT is established to improve efficiency.

Four analytical examples and one optimization example for imperfect conical-cylindrical shells are carried out. The buckling prediction results for AS-NVCT agree well with the test results, and the efficiency is significantly higher than that of typical numerical buckling methods.

The derivation of the VCT formula for thin-walled shells provides a theoretical basis for NVCT. The adaptive incremental control strategy realizes the adaptive adjustment of the loading step size and the maximum applied load of NVCT with Python script, thus establishing AS-NVCT.

The online platform is one of the essential components of the platform economy that is constructed by a large scale of the personal data resource. However, accurate empirical test of the competition structure of the data-driven online platform is still less. This research is trying to reveal market allocation structure of the personal data resource of China's car-hailing platforms competition by the empirical data analysis.

This research is applying the social network analysis by R packages, which include k-core decomposition and multilevel community detection from the data connectedness via the decompilation and the examination of the application programming interface of terminal applications.

This research has found that the car-hailing platforms, which establish more constant personal data connectedness and connectivity with social media platforms, are taking the competitive market advantage within the sample network. Data access discrimination is a complementary method of market power in China's car-hailing industry.

This research offers a new perspective on the analysis of the multi-sided market from the personal data resource allocation mechanism of the car-hailing platform. However, the measurement of the data connectedness requires more empirical industry data.

This research reveals the competition structure that relies on personal data resource allocation mechanism. It offers empirical evidence for governance, which is considered as the critical issue of big data research, by reviewing the nature of the data network.

It also reveals the data convergence process of the social system and the technological system.

This research offers a new research method for the real-time regulation of the car-hailing platform.

This paper aimed to explore the development of distance education (DE) in Chinese higher education as well as the three significant themes: accessibility, quality and equity in Chinese DE and the performance of these three themes in Chinese DE.

Document analysis was used as the major research method in this study to examine the development and challenges in terms of accessibility, quality and equity in Chinese DE. In this study, national-level official policy documents and reports from the Chinese government were collected and analyzed. Also, scientific articles from CNKI were analyzed to find out the evolution of the Frontier topics on Chinese DE in accessibility, quality and equity.

There are three major findings. First, the Chinese government has shown its positive attitude toward DE in higher education. Second, compared with the other two themes: quality and equity; the number of articles in the accessibility of DE was lower than the other two themes and the problems of accessing online courses were insufficiently caused by two reasons due to lack of basic ICT literacy and poor Internet infrastructure. Third, there was a gap between Chinese policies and research articles mainly because of the unbalanced development of accessibility in policy management and research articles.

Although this paper has summarized the development of the DE in Chinese higher education, it was clear that accessibility, quality and equity were three critical issues in DE. However, there are still other essential factors that contribute to the development of DE that requires further investigation, such as learner satisfaction, different features of learning platforms and instructional strategy.

The findings of this paper can be used to identify the attitude toward the DE of the Chinese government. Besides, the accessibility could be a research and practical focus for Chinese DE in the future.

This study showed some significant policies released by the Chinese government toward DE in higher education and revealed the achievements, trends and challenges in the accessibility, quality and equity of Chinese DE.

Management response to consumer comments has become a widely adopted marketing strategy to address the undesirable effects caused by negative remarks. Yet, when and what management response is more effective and under what circumstances remains under-researched. This study aims to fill this gap.

In three experiments using five different products, the authors manipulate psychological construal level (psychological distance: distant vs proximal) and management response (response of primary vs secondary features) and thereafter assess their bearings on consumer psychological and behavioral reaction toward products of two distinctive natures (hedonic vs utilitarian).

At a psychological distance, consumers show a preferable reaction to management response of primary over secondary features. In contrast, when the psychological distance is proximal, consumers react more positively to management response of secondary than primary features. In addition, these effects vary as a function of product nature, hedonic vs utilitarian.

The findings of this research bring a significant contribution to marketing communication literature and extend the construal level theory.

A better understanding of the relative effectiveness of distinct types of management response to negative consumer comments is essential for more targeted and effective marketing strategies.

Little research has documented the effects of distinct types of management response. How psychological distance might underpin these effects has not been explored. In addition, whether the interaction effect of management response and psychological distance varies with differences in product nature, namely, hedonic and utilitarian, remains unanswered until this research.