A TAXONOMY OF KNOWLEDGE MANAGEMENT OUTCOMES FOR SMES

The purpose of this paper is to systematically analyze the knowledge management research within small and medium-sized companies. The study includes a systematic review of 30 peer reviewed papers on knowledge management advantages for SMEs. Balanced scorecard perspectives cover all aspects of the organization, and, consequently, the balanced scorecard approach has been applied to classify the KM benefits. The reviewed scientific studies highlight the benefits of knowledge management in the areas of economic and social perspective (increased profits, flexibility, product reputation, financial performance), commercial and customers perspective (market share, sales growth, customer satisfaction, good external relationship), internal business processes perspective (operational performance, increased productivity, product/service quality, process improvement) and organizational learning and growth perspective (employee development, innovation, organizational creativity, learning).For future studies, determining stakeholder views is recommended in order to gain sustainable competitive advantage

A MULTI-LAYERED TAXONOMY OF LEARNING ANALYTICS APPLICATIONS

Digital technologies have become immersed in education systems and the stakeholders have discovered a pervasive need to reform existing learning and teaching practices. Among the emerging educational digital technologies, learning analytics create a disruptive potential as it enables the power of educational decision support, real-time feedback and future prediction. Until today, the field of learning analytics is rapidly evolving, but still immature and especially low on ontological insights. Little guidance is available for educational designers and researchers when it comes to studies applied learning analytics as a method. Hence, this study offers a well-structured multi-layered taxonomy of learning analytics applications for deeper understanding of learning analytics

Knowledge management model and instrument for implementation and adoption; perspective of developing country

This paper presents a KM model that comprises a set of KM hypothesis model and measurement models for understanding and implementation. Research uses 323 questionnaire surveys. A hypothesized model of KM process was tested using structural equation modelling approach with a proposed model and the instrument was therefore developed. Analysis of the five constructs of knowledge acquisition, creation, sharing, storage and dissemination with their reliability and Cronbach’s Alpha coefficient of 0.80, 0.71, 0.82, 0.87 and 0.87 respectively were used. Likewise, all fit indices and factor loadings were significant leading to a frugal model achievement. The study serves as a guide to KM for the construction organization implementation

Linking The Customer Knowledge Management with Software Quality: An Empirical Study of Software Development Organizations in Pakistan

The aim of research was to enhance the Customer Knowledge Management (CKM) which has high impact on the quality of software products. In Enterprise Software (ES) development the Customer knowledge management is still immature. This raises the question of how CKM enablers can be used to help ES development companies improve the quality of their software. In this study, human, organizational and technical CKM enablers Were recognized by literature. The results of the study showed that CKM enablers can help to improve the quality of software products in Pakistan. Framework for CKM can help software development organizations to improve software quality as well and will also reduce cost and gain market reputation with competent trained resources. Results showed that "customer involvement" with "trust" were the most influential factors, followed by "CRM technology infrastructure" and "cross-functional co-operation". Furthermore, "there was no impact from the organizational Training "," customer knowledge map ", and" CKM strategy development ". The results also showed that the impact of CKM on software quality is significant. The results of the study also highlighted all the potential factors that are beneficial in influencing the CKM for quality improvement of ES in Pakistan

Customer knowledge management in software development: a descriptive field survey

Customer Knowledge (CK) plays an important role in the production of high quality and innovative software products. However, there has been little comprehensive academic research on the ‘enablers’ of customer-specific knowledge. Therefore, study aims to analyze Customer Knowledge Management (CKM) ‘enablers’ for enterprise software development companies. Survey questionnaires were distributed to software companies and results showed that most firms focus their efforts more on ‘Technological Infrastructure’ and less on ‘Human’ and ‘Organizational’ CKM enablers. Results demonstrated low positive percent ratings for ‘Human Antecedents’ (Individual Competences & Skills) and ‘Organizational’ enablers (‘Customer Involvement’, CKM ‘Strategy Development’ and ‘Training’). This study contributes to the CKM domain by revealing essential elements that better enable enterprise software development firms to enhance software quality and produce innovative products. The author recommends that software companies place greater emphasis on ‘Human’ and ‘Organizational’ enablers for the successful implementation of CKM strategies

Toward a survey instrument for investigating customer knowledge management in software companies

This paper presents a method of developing an instrument for Customer Knowledge Management (CKM) in Enterprise Software (ES) development. Knowledge-Based View (KBV) and Theory of Technology in a Generic CKM framework were used to demonstrate the Organizational, Human, and Technological factors that enable the CKM process. Human, Organizational and Technological CKM enablers were identified from the literature. The weight and priority of these factors were determined by experts from the ES development companies. Based on the high priority factors, we hypothesized the constructs and develop measurement items to be validated. The measurement items are adopted from the previous validated sources. The instrument was evaluated using content validity and a pilot study. A Content Validity Index (CVI) approach was used to validate the instruments in term of relevancy and simplicity. During the content validity, the number of measurement items was reduced from 50 to 46. Moreover, the survey questionnaire of this study can be used as the foundation for the development of policy as well as strategy to enhance the probability of successful implementing the CKM