Search results

Qualitative data analysis requires methodological knowledge and intellectual competence. Analysis is not about adhering to any one correct approach or set of right techniques; it is imaginative, artful, flexible, and reflexive. It should also be methodical, scholarly, and intellectually rigorous. (Coffey and Atkinson, 1996, p.1.

The purpose of this paper is to study the inhibitive property of the mixture of an imidazole derivative (IMA) and benzotriazole (BTA) to the copper in deionised water.

Static mass‐loss tests, electrochemical tests and surface analysis are used to study the inhibitive property of the mixture of an IMA and BTA to copper in deionised water.

There is a synergistic inhibitive effect on inhibition of the copper by the IMA and BTA in deionised water, and the mixture of the IMA and BTA is an effective inhibitor that mainly hinders the anode reaction.

The mixture of the IMA and BTA is an effective inhibitor and can be used to prevent copper from corrosion in deionised water.

The mixture of the IMA and BTA is an effective inhibitor and should be suitable for use in the cooling water of an electricity generator unit to prevent corrosion of the copper conductors.

This paper aims to analyse the conceptual bases of the related terms of “host” and “guest” in Chinese and reveal essential, though overlooked, cultural differences that relate to “hospitality” in Western and Chinese cultural contexts.

A presupposition of this conceptual investigation is that culture manifests itself linguistically. The analytic approach used here is textual analysis. Confucian classical texts are the main source of evidence for examining the conceptual commitments of the Chinese characters 主 and 客 and their corresponding practical expressions.

Cross-cultural comparison reveals asymmetries between the term “hospitality” and its Chinese translations, etymologically and culturally. This study demonstrates how the Chinese 主–客 paradigm is both hierarchal in nature and centred on the role and interests of the host. It further compares this paradigm with its Western counterpart along five different dimensions.

The specific Chinese norms for the host–guest paradigm synthesized here could prompt both academicians and operators to question the cultural attachments associated with hospitality by participants and the cultural differences in hospitality transactions and management. The cultural sensitivity modelled here is intended to facilitate harmony between a hospitality setting and the culture in which it is embedded.

This conceptual paper is the first in the Anglophone literature to explore the Chinese cultural roots of the concepts “host” and “guest”. The linguistic perspective used in this study allows the concept of “hospitality” to be studied cross-culturally and in an interdisciplinary way, addressing a blind spot in the extant hospitality literature.

In the realm of open innovation (OI) networks, coopetition—where competition and cooperation coexist—plays a pivotal role in shaping the dynamics between diverse projects. This dual relationship is crucial for the propagation of knowledge and the bolstering of the network's overall resilience. While competition drives the quality of products and services, thereby reinforcing network resilience, cooperation facilitates knowledge diffusion, which is essential for the network's robustness.

We delve into the interplay between coopetition intensity and network resilience through the lens of knowledge diffusion. Our methodology begins with a sensitivity analysis to gauge the direct effects of coopetition on resilience. This is followed by a principal component analysis to identify the key determinants of coopetition intensity among projects. Finally, we utilize linear regression and moderation analysis to explore the mediating role of knowledge diffusion in the resilience of OI networks.

Our work is grounded in network theory, which provides a robust theoretical framework for understanding project coopetition and knowledge diffusion within the OI paradigm. This research not only offers a nuanced understanding of coopetition's impact on OI network resilience but also highlights the significance of knowledge diffusion as a critical mediating variable.

1) Identifies the significant influences in project coopetition (competition and cooperation). (2) Puts the conceptual framework and calculation method of the open innovation network resilience based on the project coopetition and knowledge diffusion. (3) Explores the moderating role of knowledge diffusion in project coopetition influencing open innovation networks resilience. (4) Measures the influence of project coopetition relationship on open innovation network resilience from the perspective of knowledge diffusion. (5) Encourages project management to consider the portfolios of coopetition.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

There exists an association between Supply Chain Quality Management (SCQM) and supply chain competence. To verify such claims, data was collected from Hong Kong based firms. The data showed in most cases an association could be established between SCQM initiatives and the supply chain competence. Some fi rms with SCQM initiatives tend to perform better in terms of customer service or product quality. Supply chains managers may therefore, perform better when their managerial foci are consistent with recognized dimensions of supply chain quality and excellence. In today’s global economy supply chain management is crucial in achieving organizational effectiveness.

The purpose of this paper is to solve the problem of low efficiency on knowledge resources allocation in the strategic emerging industry (SEI), an incentive model of technology innovation based on knowledge ecological coupling is designed.

First, a principal–agent model of knowledge inputs and a knowledge ecological coupling model based on an improved Lotka–Volterra model are constructed. In addition, a numerical example about Chongqing Yongchuan industrial park, the emulation analysis and the associated discussions are conducted to analyze the equilibriums of principal–agent in different knowledge inputs. Further, the paper analyzes the evolutionary equilibrium in knowledge ecological coupling and reveals the dual adjustments of the node organization on knowledge inputs.

Thus, this paper shows that by establishing the relationships of knowledge ecological coupling based on “mutualism and commensalism,” node organization raises the level of knowledge inputs; an incentive mode of “knowledge ecological coupling relationship + technology innovation chain” is conductive to substantially improving the efficiency of knowledge resource allocation, and to stimulate the vitality of node organization for technology innovation in the strategic emerging industry (SEI).

This paper contributes to the extant researches in two ways. First, this paper reveals the dual adjustments of the node organizations in inputting knowledge, which broadens the vision and borders of the researches on traditional knowledge management. The methods of the traditional principal–agent model and the knowledge input/output profit model are also expanded. Second, this paper verifies that applying the mode of “knowledge ecological coupling relationship + technology innovation chain” in practice is conducive to enhancing the efficiency of the cross-organizational knowledge allocation in the strategic emerging industry (SEI).

In the 21st century, multilingual tools are gaining importance as increasingly diverse user groups from different cultural and linguistic backgrounds seek access to equally diverse pieces of information. The authors of this paper believe that most current forms of multilingual information access are inadequate for this role, and that a new form of multilingual thesaurus is required. The core of this paper introduces their pilot thesaurus InfoDEFT as a possible model for new online thesauri, which are semantically structured, encyclopedic and multilingual. The authors conclude that while the manual construction of such thesauri is labour intensive and hence costly, pilot thesauri can be used as training sets for artificial learning programmes, thus increasing their volume considerably at relatively little extra cost.