Search results

In the contemporary business environment, companies must constantly consider methods to enhance their competitive advantage and create value for their customers. The purpose of this paper is to develop a research model based on a business ecosystem view. Within a business ecosystem, the authors identified the key factors of co-development and the manner in which these factors affect a company’s innovation performance.

The theoretical hypotheses are confirmed by partial least squares analysis of survey responses collected from information and communication technology (ICT) and hotel industries in Taiwan.

In both industries, the results suggest that a firm’s co-development within its own ecosystem has positive effects on innovation performance. For companies in the ICT industry, collaborative networks and partner selection have significant impacts on the firms’ co-development, but their information technology (IT) capability does not; in contrast, in the hotel industry, partner selection and IT capability have significant impacts on firm co-development, but their collaborative network does not.

This study contributes to the literature of business ecosystem and co-development by offering a co-development model. As both conceptual and empirical research on this topic is still underdeveloped, this study provides fresh insights into collaboration management and offers significant theoretical and managerial implications from a business ecosystem perspective.

The purpose of this paper is to focus on selection of a location which can widely influence business strategy planning and operation profit.

In this paper, the relationship between location strategy and clustering is primarily shown by obtaining location decision criteria and the impact of high‐tech firms with the decision‐making trial and evaluation laboratory (DEMATEL) method. Then, analytic network process (ANP) method is used to explain the value and benefits from cluster location.

The authors study decision‐making for location selection of high‐tech firms in Hsinchu Science Park. The example is based on two dimensions including network effect and transaction cost. Network effect plays a more significant role than transaction cost for this example location selection of high‐tech firms in Hsinchu Science Park. The Science Park is surrounded by entrepreneurial spirit, a significant talent pool, and support infrastructure.

This paper explores how high‐tech managers make their decisions on location strategy in Science Park.

The authors found that cost and benefit factors of network effect dominate the major decision‐making in selection of location and has direct impact on strategic intent. They also have shown that the DEMATEL and ANP approaches are valuable for evaluating this situation.

The spherical hybrid sliding bearings (SHSBs) can be used in ultra-precision and heavy-duty machine tools. However, there is little related research for these bearings. The purpose of this study is to investigate the static characteristics and effect factors affecting SHSBs by fluid lubrication.

Based on the theories of fluid lubrication, the Reynolds equation of general Newtonian fluid is derived to obtain the steady-state lubrication equation. The system is solved by the finite difference method and the relaxation iterative method on the staggered grid to obtain the thickness and the pressure distribution of the oil film. The radial and axial load capacities of SHSBs are determined by the pressure field integration over the spherical surface.

The results show that the parameters such as oil supply pressure, bearing clearance, eccentricity ratio, rotating speed and orifices’ number affecting the static characteristics of bearings are significant and the cross-coupling effect exists.

The lubrication model of SHSB is established to analyze the pressure distribution with a variety of oil film thickness. The laws of oil supply pressure, bearing clearance, eccentricity ratio, rotating speed and orifices’ number on the load capacities are researched.

This study aims to examine whether the association between stakeholders and corporate social responsibility (CSR) documented in developed countries exists in China.

This study tests the hypothesis and examines the impact of the central government, political connection, shareholders, customers, suppliers, employees and foreign investors on CSR practices by estimating the ordinary least squares regressions.

Using the CSR indexes developed by the Chinese Academy of Social Science (CASS), this study finds that the central government, supplier concentration and foreign investors are positively associated with CSR, whereas shareholder concentration and customer concentration are negatively associated with CSR in China. Inconsistent with findings documented in developed countries, the result indicates that employee power is not associated with CSR.

This paper extends prior research by including stakeholders, such as government and foreign investors, who have a unique impact on CSR activities in emerging markets in addition to other stakeholders. The findings have implications in other countries where state ownership is also prevalent (Claessens et al., 2000; Faccio and Lang, 2002). While the issue of CSR has attracted growing research interest in recent years, most empirical results are based on the US data. This paper contributes to the empirical CSR research by examining determinants of CSR in an emerging market. Interestingly, some of the findings are contrary to those documented in developed countries. The contradiction suggests the danger in generalizing CSR–stakeholder research findings in developed countries to emerging economies.

The proliferation of digital communication on social media provides new opportunities for businesses to take advantage of Internet memes to boost customer engagement. Academic literature on digital communications mostly focuses on popular forms such as selfies, branded posts, and branded emoticons. Less attention has been paid to brand memes and their implications for brand management. Based on the cue utilization theory, this research aims to investigate the informational cues of brand memes foster brand partnerships.

The structural equation modeling and importance-performance matrix analysis were used to empirically validate the research hypotheses with 595 respondents to an online survey.

Three informational cues of brand memes (i.e. comprehensibility, novelty, and meme-brand congruity) stimulated consumers' attitudes, which in turn impacted consumer-brand relationships. Another brand meme informational cue, sarcasm, negatively moderated the relationships between the three informational cues and consumer-brand relationships.

Our findings indicate that a brand can engage consumers in conversations on social media and foster long-term consumer-brand relationships through brand memes.

Purpose – To examine corporate social responsibility in cyberspace within the context of the experience of Google Corporation in China in order to provide greater understanding of the complexities that corporations encounter when operating across cyber borders.Design/methodology/approach – The research is grounded in the theoretical debate: The Internet as democratic and universal space versus the Internet as autocratic and sovereign space. Historical analysis is drawn from the case of Google Corporation in China.Findings – Freedom in cyberspace is more likely to be advanced universally with a collective commitment to corporate social responsibility in the information technology sector.Research limitations/implications – The study provides insights into the appropriate balance between the ethical responsibilities of the firm and its need to compete and survive in the highly competitive information age.Originality/value of chapter – The case of Google Corporation in China offers a venue for further discussion on the ethical role of transnational information technology corporations and their improvements in fostering human rights and free enterprise in cyberspace.

The purpose of this paper is to shed light on the relationship between the Internet Financial Reporting (IFR) levels and corporate characteristics. It is assumed that the relationship between the disclosure level and its determinants is known. Nevertheless, the results of the empirical studies confirm that it is a naive assumption. As a result, the author suggests refusing the conventional methods of econometric analysis.

The research methodology consisted of four stages: First, the author tried to select the “best” model using the Akaike Information Criterion (AIC). Second, the author checked out the stability of the relationship between corporate disclosure level and its determinants. Third, the regression analysis was used. Finally, the author proposed a “genetic-fuzzy system” for studying the determinants of corporate disclosure. The firms' yearly data collected consisted of a random sample of 152 Tunisian companies' websites.

The results show that the variables that should be used to explain the level of IFR are firm size, ownership concentration, firm performance and liquidity. The Chow forecast test shows that there is a significant and large difference between the actual and the predicted values. Consequently, the author suggests using non-parametric methods, particularly a methodology based on fuzzy logic concepts and genetic algorithms. This technique would allow the author to discover the true form of the relationship between the disclosure level and its determinants. Regarding the hypotheses of this study, the findings of the “genetic-fuzzy system” validate all the hypotheses. Indeed, the arguments of the agency theory, the signaling theory, and the political cost hypothesis were supported using the “genetic-fuzzy system.”

The originality of the paper lies in providing a new research methodology based on several statistical tools for dealing with an important research topic in accounting and finance, i.e. the determinants of IFR. The results of this study can be considered as a starting point to develop a unified methodology.

The purpose of this research is to provide a systematic insight into corporate social responsibility (CSR) and corporate citizenship (CC) in supply chain development, by analyzing the current literature, contemporary concepts, data and gaps for future discipline research.

This research identifies information from existing academic journals and investigates research designs and methods, data analysis techniques, industry involvement and geographic locations. Information regarding university affiliation, publishers, authors, year of publication is also documented. A collection of online databases from 2001 to 2018 were explored, using the keywords “corporate social responsibility”, “corporate citizenship” and “supply chain” in their title and abstract, to deliver an inclusive listing of journal articles in this discipline area. Based on this approach, a total of 164 articles were found, and information on a chain of variables was collected.

There has been visible growth in published articles over the last 18 years regarding supply chain sustainability, CSR and CC. Analysis of the data collected shows that only five literature reviews have been published in this area. Further, key findings include 41% of publications were narrowly focused on four sectors of industry, leaving gaps in the research. 85% centered on the survey and conceptual model, leaving an additional gap for future research. Finally, developing and developed nation status should be delineated, researched and analyzed based on further segmentation of the industry by region.

This research is limited to reviewing only academic and professional articles available from Emerald, Elsevier, Wiley, Sage, Taylor and Francis, Springer, Scopus, JSTOR and EBSCO containing the words “corporate social responsibility”, “corporate citizenship” and “supply chain” in the title and abstract.

This assessment provides an enhanced appreciation of the current practices of current research and offers further directions within the CSR and CC in supply chain sustainable development.