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It is necessary to determine the processes affecting cloud computing service applications in supply chain management (SCM) systems in order to facilitate cloud computing service exchanges and transmission of data among supply chain members. The paper aims to discuss these issues.

Drawing on the elaboration likelihood model (ELM) and integrating the commitment trust theory, this paper develops a theoretical model using argument advantage and source credibility constructs to examine the relationships among perceived usefulness, attitude, trust and usage intention.

The results indicate that both the central route and the peripheral route of the ELM have a positive influence on perceived usefulness. The argument advantage has a strong influence on perceived usefulness as compared to source credibility while source credibility has a strong impact on trust. Furthermore, the perceived usefulness of cloud computing services plays a pivotal role in attitude and intention, whereas trust has a weak effect on usage intention.

The proposed model not only explores the argument that potential user evaluations of both the advantages of cloud computing services and source credibility influence their affective states, which in turn affect their usage intention, but it also examines the mediating factors that influence processes related to cloud SCM acceptance.

This study aims to indicate the advantages of using cloud computing services, including the ways in which firms use cloud-based services to achieve accessibility, better communication, flexibility and effective provision of services. However, little evidence has been obtained related to the effectiveness of applying cloud computing services to supply management chains.

In this study, a sample of 223 top 1,000 manufacturing firms in Taiwan that had implemented cloud-based supply chain management systems (CSCMs) was surveyed to determine what kind of internal resources in these companies were allocated to this implementation effort, how collaborative relationships were established in the existing supply chain to help make the transitions successful, how well their systems are working now that they have been implemented and whether these new systems have improved cycle time performance and the overall performance of their organizations. The study also examines the interrelationships among these variables.

The results reveal that, from the perspective of the managers who were surveyed, an effective allocation of internal organizational resources does have a positive, strong effect on external CSCM conditions. They also showed that when the relationship between internal and external resources is well constructed, the result is that CSCM improves supply chain management cycle time performance, which, in turn, leads to positive organizational performance.

The study reports some useful insights from the managers of CSCM systems related to how the execution of CSCM solutions can improve cycle time and organizational performance by enhancing internal organizational management and joint collaboration among supply chain partners. The findings from this survey will be useful to managers who are considering creating cloud-based supply management systems in the future.

The purpose of this paper is to compare the effects of organizational and technological barriers to knowledge sharing between large and small firms through the lens of attribution theory.

The structural equation modeling approach was applied to estimate the conceptual model by using survey data from a list of Taiwan’s top 1,000 manufacturing and 500 service companies. A total of 229 valid questionnaires were collected.

The empirical results show that both organizational and technological barriers have relationships with an individual’s effort and ability with regard to knowledge sharing behavior. When organizational barriers occur, the perceived lack of effort has a direct effect on knowledge sharing behavior for large firms, while negative sharing behavior among employees of small firms is influenced by the perception of low ability through the perceived lack of effort.

A review of the literature reveals organizational and technological barriers that lead to the negative influences of internal attributions on knowledge sharing. This study, therefore, contributes to a comprehensive perspective on how to encourage knowledge sharing behavior at different sizes of firms.

The aim of this article is to construct a performance evaluation framework that can be employed in companies to enhance their business operations and strengthen their financial advantage in the current environment. To validate the approach, a case example has been included to assess the practicality and validity of this approach when applied in a real environment.

This study focuses on an important part of the strategic planning process: internal scrutiny and environmental (external) scanning, in which an evaluation of company performance is divided into two stages by using network DEA and the cross-efficiency approach. In addition, this article employs Miles and Snow's typology for classifying the strategies used by companies.

The analytical results show that the proposed framework can be useful for companies seeking to evaluate which strategies may be the most appropriate, based on Miles and Snow's typology, to effectively reallocate limited resources.

The evaluation in this study only uses financial data and does not take other nonfinancial indicators into consideration.

This research provides value by classifying each company included in the study in terms of its capability and financial efficiency according to Miles and Snow's system of strategy classification. Second, an internal and external performance measuring framework is constructed. Finally, some propositions for top management are provided by analyzing the financial advantages of using a performance evaluation framework that can help top management make decisions more objectively.

This study proposes an objective assessment model to evaluate the performance of internal and external capabilities of firms. It facilitates firms to invest appropriate resources to cultivate the organizational capability necessary to meet the requirements of the performance indicators.

This study integrates the concepts of resource-based theory, the organizational capability concept, and conduct a performance analysis to the four perspectives of the BSC by implementing the fuzzy set theory and data employment analysis.

The findings show that the appropriate strategies help allocate available resources and capabilities during the different product life cycle, which provides practical guidelines for firms to achieve sustaining competitive advantage.

The selected factors were focused on four resources and capabilities rather than all possible factors.

An objective assessment model was created based on internal and external competitive performance efficiency in this research field. This model facilitates the ability of the top management to make decisions for resource allocation that will enhance firm's performance.

The purpose of this paper is to synthesize empirical results relating to antecedents influencing differences in performance between business group (BG) affiliated firms and independent firms in emerging economies.

A metanalysis was conducted in this research in which samples were collected, and a continuous data set for figuring the differentiation between group and non-group variables was selected and analyzed. These variables included performance, diversification, ownership characteristics, firm characteristics and group characteristics.

The research presents a set of hypotheses from a model that shows the influences of factors moderating the differences between the performance of BG affiliates and independent firms, including governance and the kinds of strategic choices which these firms make. Four of the five hypotheses were totally supported, showing the importance of differentiating affiliates’ and independent firms’ performance in terms of ownership concentration, dividend payout, leverage, R&D, as well as diversification and a firm’s age and size.

The study focused its research on an examination of pyramid and cross-holding groups in order to reveal the role of the core firms. It also examines ownership concentration, as well as internal relationships with capital structure, and the effect which these have on firm performance, in order to further understand the relationship among BGs, corporate governance and performance in emerging-market economies.

To propose a holistic framework for understanding the “knowledge‐management (KM) gap” – illustrating six types of gaps that might occur within KM activities.

The content‐analytical approach with the thematic analysis was implemented in the study. Through an in‐depth interview with the top managers of two firms, explores the causes of these gaps and fundamental approaches to bridging these gaps.

This study identifies a comprehensive set of factors that could potentially impact the magnitude and direction of these gaps and the corrective actions to enhance the success of the implementation of the KM system.

The study has done in‐depth interviews with only two firms and five companies. The results may need to be validated by a robust survey. Reasons for these gaps and several fundamental approaches to avoid them are presented.

This framework is expected to provide a convenient way to audit KM gaps and, thus, enterprises can make corrections and adjustments accordingly to greatly enhance their chances of success while implementing the KM system.

Proposes an innovative framework of “KM gaps” to fully illustrate the management gaps that might occur during the implementation of KM. Furthermore, the actions to reduce the misfit between the capability and implementation of KM systems are also demonstrated.

Maintains that women in the USA have much more leadership chances, less harassment and more respect from subordinates than Japanese women (who live in a male‐dominated world), who are reluctant to make decisions or take risks without consultations. Observes that women from Taiwan seem to have a much more transactional leadership style – taking risks and making rapid decisions. Discusses, in great detail, using extensive research via a multiple‐item scale to measure each item and lays out the results using figures and tables with great detail. Concludes with full results of the study and what they mean.

Assesses the relationship between quality management practices and organizational climate. This study uses two well‐developed instruments to assess the relationship. A total of 386 questionnaires were mailed to managers drawn from a list of Taiwan’s top 500 manufacturing corporations. A total of 86 middle line managers returned the questionnaires for this study. Discriminant analysis was used to examine the relationship between quality management practices and organizational climate. The result indicates that high quality‐tendency groups perceive a loose organizational structure, while medium quality‐tendency groups perceive a more bureaucratic organizational structure. Regarding people orientation, finds that medium quality‐tendency groups tend to emphasize that more, followed by high quality‐tendency groups and then low quality‐tendency groups. Also identifies the organizational climate indicators that separate high, medium, and low quality‐tendency organizations.

The purpose of this paper is to propose a model that captures the fuzzy events is proposed to find the optimal periods of warranty policies. The model considers repair and replacement actions in the warranty period.

The study transforms the reliability of a traditional set to a fuzzy reliability set that models a problem. The optimality of the model is explored with classical optimal theory. Also, a numerical example is presented to describe how to find an optimal warranty policy.

The study proves that the optimality of a warranty model can be used to find the optimal warranty policy in a fuzzy environment.

The model is useful for firms in deciding what the maintenance strategy and warranty period should be in a fuzzy environment.