Search results

The purpose of this paper is to propose a fault diagnosis method for rolling bearings, in which the fault feature extraction is realized in a two-dimensional domain using scale invariant feature transform (SIFT) algorithm. This method is different from those methods extracting fault feature directly from the traditional one-dimensional domain.

The vibration signal of rolling bearings is first transformed into a two-dimensional image. Then, the SIFT algorithm is applied to the image to extract the scale invariant feature vector which is highly distinctive and insensitive to noises and working condition variation. As the extracted feature vector is high-dimensional, kernel principal component analysis (KPCA) algorithm is utilized to reduce the dimension of the feature vector, and singular value decomposition technique is used to extract the singular values of the reduced feature vector. Finally, these singular values are introduced into a support vector machine (SVM) classifier to realize fault classification.

The experiment results show a high fault classification accuracy based on the proposed method.

The proposed approach for rolling bearing fault diagnosis based on SIFT-KPCA and SVM is highly effective in the experiment. The practical value in engineering application of this method can be researched in the future.

Seekers who visit professional virtual communities (PVCs) are usually motivated by knowledge-seeking, which is a complex cognitive process. How do seekers search for knowledge, and how is their search linked to prior knowledge or PVC situation factors? From the cognitive process and interactional psychology perspectives, this study investigated the three-way interactions between seekers’ expertise, task complexity, and perceptions of PVC features (i.e. knowledge quality and system quality) on knowledge-seeking strategies and resultant outcomes.

A field experiment was conducted with 119 seekers in a PVC using a 2 × 2 factorial design of seekers’ expertise (i.e. expert versus novice) and task complexity (i.e. low versus high).

The study reveals three significant insights: (1) For a high-complexity task, experts adopt an ask-directed searching strategy compared to novices, whereas novices adopt a browsing strategy; (2) For a high-complexity task, experts who perceive a high system quality are more likely than novices to adopt an ask-directed searching strategy; and (3) Task completion time and task quality are associated with the adoption of ask-directed searching strategies, whereas knowledge seekers’ satisfaction is more associated with the adoption of browsing strategy.

We draw on the perspectives of cognitive process and interactional psychology to explore potential two- and three-way interactions of seekers’ expertise, task complexity, and PVC features on the adoption of knowledge-seeking strategies in a PVC context. Our findings provide deep insights into seekers’ behavior in a PVC, given the popularity of the search for knowledge in PVCs.

The purpose of this study is to examine tacit knowledge sharing within information systems development (ISD) projects by exploring the combination of social interdependence theory and regulatory focus theory (RFT).

A survey was conducted on 198 ISD professionals to investigate the effect of social interdependence on tacit knowledge sharing. The survey data were analyzed using partial least squares structural equation modeling (PLS-SEM), and the results were discussed.

This study reveals that team members tend to share tacit knowledge in a way characterized by cooperative interdependence, and different patterns of social interdependence have an impact on tacit knowledge sharing. The RFT explains the disparities in attitude toward tacit knowledge sharing. Specifically, individuals with a prevention-focused orientation positively moderate the impact of competitive interdependence on tacit knowledge sharing, while those with a promotion-focused orientation have a negative moderating effect on the effect of competitive interdependence on tacit knowledge sharing. Moreover, promotion-focused individuals negatively moderate the effect of cooperative interdependence on tacit knowledge sharing.

The study identifies important aspects of social interdependence in ISD projects that affect the management of tacit knowledge. Furthermore, the study shows that the influence of cooperative and competitive interdependence on tacit knowledge sharing is moderated by the regulatory focus of an individual, providing new insights into ISD knowledge management.

The purpose of this paper is to investigate the state of logistics management research in Asia. The study focuses on the research agenda, the topics of interest, and the extent of research collaboration in logistics theory building and knowledge specific to Asia.

This study uses a mixed methods approach namely, content analysis drawn from the articles found in six well-recognized peer-reviewed logistics management related journals from 2003 to 2013, followed by social network analysis which is applied on the selected articles to provide a structure of the collaboration relationship.

Initial findings suggest that there are some scholars in Asia who are instrumental in research collaboration and in building a body of knowledge on logistics management focused on Asia. More co-production of knowledge from deeper and tightly knit industry-academic collaboration is needed to progress this domain. Most of the published work use an empirical instrument drawn from the resource-based view to explore firm level supply chain collaboration and strategy. This suggests a positivist research tradition within logistics. There is a shortage of studies conducted on the supply chain as a network of enterprises.

The review of the articles is limited to six logistics specific journals and the authors only concentrate on logistics management research focused on Asia. The contributions from the other journals may have been missed. More collaboration at the institutional, national, and international levels is called for especially on cross-collaboration between practice and theory.

Though the analysis is restricted to 260 articles found in six journals, this paper can shed light on the research needs from different perspectives and facilitate the progress of logistics management research in Asia.

This is the first paper to discuss the state of logistics management research collaboration in Asia, and provides an overview of the research issues, topics, and approaches undertaken thus far. Through this work, this study hopes that it will encourage greater research collaboration between industry and academia, and academics themselves.

This study empirically verified employee engagement (EE) as an outcome of organizational communication and confirmed that the formation of EE is strengthened when smartphone use (SU) is at a higher level.

A quantitative approach was used in this research, whereby 408 valid samples were collected with an online survey. The hypotheses of direct effects were tested using the structural equation modeling (SEM) procedure, and the moderating effects were tested using the unconstrained product indicator method and the PROCESS macro.

The results showed that EE was significantly influenced by person–organizationvalue fit (POVF), transformational leadership (TFL) and job autonomy (JA), and the effects of POVF and TFL were moderated significantly by SU. Although the influence of social support (SS) on EE was insignificant in the full model, SU moderated the effect of SS. The evidence also showed that work–family conflict (WFC) had no negative impact on EE.

The participants of this study were restricted to a local area.

Organizations should develop job designs via two-way communication to bring up EE and SU can facilitate the process.

Previous research has identified EE as an outcome of organizational communication, but this concept has not yet been empirically verified. This research provides evidence to verify the above-mentioned concept and additionally confirms the moderating role of SU.

This paper examines how managerial discretion and judgment in revenue recognition affect earnings and revenue value relevance. Specifically, the purpose of this paper is to assess the impact of lifting the objective-price constraint in revenue recognition on the value relevance of earnings and revenue by examining firms’ contemporaneous returns-earnings/revenue relation before and after the implementation of Accounting Standards Update (ASU) 2009-13. In addition, this paper examines how the change in earnings value relevance is conditioned by agency costs, corporate governance, information environment, and audit quality. This paper further examines whether earnings, revenue, and accruals quality change after the objective-price constraint is lifted.

This paper employs a difference-in-differences research design to examine whether earnings and revenue value relevance are enhanced or lowered more for a list of 107 US firms that applied selling price estimates in revenue recognition under ASU 2009-13 than for a list of 107 matched US firms that did not apply selling price estimates. Sub-sample analyses are employed to examine how agency costs, corporate governance, information environment, and audit quality condition the change in value relevance. Additional analyses examine the changes in earnings, revenue, and accruals quality using accruals, revenue accruals, discretionary revenue, absolute abnormal accruals, earnings/revenue predictability, and smoothness.

The empirical results suggest that lifting the objective-price constraint in revenue recognition improves earnings and revenue value relevance for positive earnings and that the effect of information usefulness dominates that of managerial opportunism. Change in the earnings value relevance is conditioned by the level of corporate governance, information environment, and audit quality. Evidence of no significant reduction in the earnings/revenue/accruals quality corroborates the main findings.

The findings lend support to the new revenue standard (ASU 2014-09) that continues the use of the estimates of selling price in revenue recognition.

This study provides some of the first evidence that managerial judgment exercised in revenue recognition through the use of selling price estimates (i.e. lifting the objective-price constraint in revenue recognition) enhances earnings and revenue value relevance while such benefit does not come at a cost of reduced earnings/revenue/accruals quality.

In this study, the authors extend upon Brockman et al. (2008), who provide evidence that managers opportunistically accelerate bad news prior to share repurchases, but provide limited evidence that managers withhold good news until after repurchases. The authors examine management forecasts surrounding share repurchases in periods when companies must disclose detailed repurchase information. The authors argue these disclosures increase managers' legal and reputation risks of accelerating bad news, but have a lesser effect on delaying good news.

First, the authors examine whether managers alter the information released to the market before buying back shares by comparing managerial forecasts made within 30 days before the beginning of a repurchasing period with those made outside of this window. Second, the authors examine whether managers are more likely to provide good news forecasts, in terms of both magnitude and frequency, after buying back shares. Lastly, the authors examine the impact of CEO stock ownership on managerial forecasting behavior surrounding share buybacks.

Consistent with the authors’ hypotheses and contrary to Brockman et al. (2008), the authors find limited evidence that the likelihood or magnitude of bad news forecasts is greater in the period before share buybacks. Instead, the authors document that the frequency and magnitude of good news forecasts increase in periods following share buybacks and that these associations are positively moderated by managerial equity incentives. The authors also find that the withholding of good news is associated with lower average repurchase prices and greater repurchase volume. The authors further show that, when litigation risk is greater, managers are less likely to accelerate bad news prior to repurchases and more likely to withhold good news until after. Overall, the study results are consistent with managers balancing the benefits of opportunistic repurchase behavior with the costs.

This study contributes to the management forecast and share repurchase literatures by providing evidence consistent with managers opportunistically releasing earnings forecasts in the period after buying back shares. Most importantly, the authors show that after the rule revision, managers refrain from actively disclosing bad news that carry higher legal costs. Instead, they opt for the omission of good news to repurchase stocks at lower prices. The study results reconcile the conflicting evidence of Brockman et al. (2008) and Ge and Lennox (2011).

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.

The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.

The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.

This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

A grid information retrieval model has benefits for sharing resources and processing mass information, but cannot handle conceptual heterogeneity without integration of semantic information. The purpose of this research is to propose a concept‐based retrieval mechanism to catch the user's query intentions in a grid environment. This research re‐ranks documents over distributed data sources and evaluates performance based on the user judgment and processing time.

This research uses the ontology lookup service to build the concept set in the ontology and captures the user's query intentions as a means of query expansion for searching. The Globus toolkit is used to implement the grid service. The modification of the collection retrieval inference (CORI) algorithm is used for re‐ranking documents over distributed data sources.

The experiments demonstrate that this proposed approach successfully describes the user's query intentions evaluated by user judgment. For processing time, building a grid information retrieval model is a suitable strategy for the ontology‐based retrieval model.

Most current semantic grid models focus on construction of the semantic grid, and do not consider re‐ranking search results from distributed data sources. The significance of evaluation from the user's viewpoint is also ignored. This research proposes a method that captures the user's query intentions and re‐ranks documents in a grid based on the CORI algorithm. This proposed ontology‐based retrieval mechanism calculates the global relevance score of all documents in a grid and displays those documents with higher relevance to users.

Computer self‐efficacy (CSE) is generally considered to have a positive effect on information systems use. Its effect on using executive support systems (ESS), however, has not been studied. This research elucidates the effect of CSE on ESS use by undertaking a field study on a group of 16 executives in the construction industry. The results indicate that executives with a lower CSE prefer more powerful systems (i.e. ESS with both analytical and intuitive tools). Executives with a higher CSE, on the other hand, prefer systems consisting of tools that can cognitively fit the task they perform. Implications for future application and research are discussed.