252,815 research outputs found

    Using Design Science Research to Develop a Conceptual Solution for Improving Knowledge Sharing in a Virtual Workspace

    Full text link
    Enhancements in technology have resulted in significant changes to day-to-day operations of organizations in the present day. One especially noteworthy change is the alteration in the nature of teams from being co-located, with face-to-face interaction, to virtual, with the involvement of information and communication technologies (ICT) to facilitate communication. This change in team character has had a downstream impact on a key element of an organization’s competitive edge, namely knowledge. Overall, there is consensus that knowledge is a crucial facet of the competitive edge of an organization. Consequently, knowledge management, knowledge sharing, and organizational learning are essential components of an organization’s sustained existence and effectiveness in the competitive marketplace and considerable academic and industry attention has been paid to this matter. However, the present day scenario of global organizations and dispersed teams, within and across geographies, transforms the matter of knowledge sharing and organizational learning into one of great complexity. Thus, the present study was interested in understanding the modalities of knowledge sharing and consequently organizational learning in the context of a virtual workspace, that is, teams operating from physically distinct locations and communicating using ICT tools. Overall, the objective of this study was to propose a conceptual model using the Design Science Research (DSR) approach to enhance organizational learning and knowledge sharing in the context of the virtual workspaces of the present day work environment. Further, the conceptual model is extended to propose the use of a Learnin

    Staff empowerment

    Get PDF
    The present study has investigated the relationship between organizational learning and staff empowerment in North Khorasan teachers’ campus (Farhangian e pardishayekhorasan e shomali University: T.M.E.B.). In this study, which has been done using a descriptive method of correlation type, the Statistical Population was staff of Imam Muhammad Baqir Educators University. Statistical sample of 49 people was specified by a census method. Two standard questionnaires have been used for data collection from statistical society members, which are as follows: Nyf organizational learning and Spritzer empowerment. According to the test, Cronbach's alpha coefficient value for the organizational learning (OL) questionnaire was 0.871 and for the empowerment questionnaire was 0.938. Meanwhile, the relationship between competence development and staff empowerment is more relevant than any other aspect and it indicates that the competence development has a greater impact on staff empowerment than other aspects. The relationship between organizational structure and employees’ empowerment has the least value, as compared to other aspects which show its less effectiveness. The next thing that will lower the effectiveness of this aspect is that the organizational structure is not flexible enough to empower staff and make the necessary changes. The link absence between knowledge sharing and empowering, also is a signal showing that managers and staff are ignoring the importance of sharing knowledge. Consequently, this university should make efforts to provide educational tools for organizational learning so as to be able to increase efficiency and productivity and succeed in their organization by staff empowering

    Staff empowerment

    Get PDF
    The present study has investigated the relationship between organizational learning and staff empowerment in North Khorasan teachers’ campus (Farhangian e pardishayekhorasan e shomali University: T.M.E.B.). In this study, which has been done using a descriptive method of correlation type, the Statistical Population was staff of Imam Muhammad Baqir Educators University. Statistical sample of 49 people was specified by a census method. Two standard questionnaires have been used for data collection from statistical society members, which are as follows: Nyf organizational learning and Spritzer empowerment. According to the test, Cronbach's alpha coefficient value for the organizational learning (OL) questionnaire was 0.871 and for the empowerment questionnaire was 0.938. Meanwhile, the relationship between competence development and staff empowerment is more relevant than any other aspect and it indicates that the competence development has a greater impact on staff empowerment than other aspects. The relationship between organizational structure and employees’ empowerment has the least value, as compared to other aspects which show its less effectiveness. The next thing that will lower the effectiveness of this aspect is that the organizational structure is not flexible enough to empower staff and make the necessary changes. The link absence between knowledge sharing and empowering, also is a signal showing that managers and staff are ignoring the importance of sharing knowledge. Consequently, this university should make efforts to provide educational tools for organizational learning so as to be able to increase efficiency and productivity and succeed in their organization by staff empowering

    Effects of Task Complexity, Management System and Infrastructure Support On Knowledge Sharing and Performance Enhancement

    Get PDF
    The acceleration of technological change and trade liberalization in the 1990s have significantly intensified market competition and transformed the world economic infrastructure from a resource- and manufacturing-based economy to one in which knowledge and services are the key drivers of economic growth. In order for an organization to capitalize on its knowledge and truly become a learning organization, it must systematically manage and leverage knowledge existing internally and externally to create and sustain its competitive advantage. Numerous empirical studies on knowledge management have examined the relative effectiveness of various enablers, such as organizational structure, technology, culture, managerial system and strategy for knowledge creation and sharing in organizations. While these studies play a critical role in helping us to appreciate the importance of organizational enablers in knowledge management, they have neglected to examine the possible effects of task complexity and management control system (MCS) on the nature and efficacy of knowledge sharing. Similarly, the role of motivation in the domain of knowledge sharing has been overlooked. This study investigates how task complexity, MCS design and infrastructure influence the mode and effectiveness of knowledge sharing in the accounting profession and the moderating role of an individual's intrinsic motivation on the knowledge sharing process. One thousand (1,000) copIes of structured questionnaires were mailed to the Malaysian Institute of Accountants (MIA)'s members in the Klang Valley in December 2005. Of the 1,000 copies distributed, 120 completed questionnaires were returned to the researcher. After the initial stages of data analysis, follow-up interviews were carried out to obtain further insights to explain the empirical results. This study reveals that task complexity contributes significantly to knowledge sharing. It also highlights that it is not feasible to limit the professional accountants' duties to repetitive or clearly-defined procedural tasks only. Most of the tasks carried out by professional accountants are unstructured tasks which required professional judgment for task performance. While professional accountants are keen to tap into a knowledge-based system in their quest to seek possible solutions to the tasks performed, they generally hesitate to transform their tacit knowledge into a more comprehensible explicit form. The finding suggests that there may be culture-related factors which inhibit the diffusion of tacit knowledge totally and completely. The results also confirm that there is a relationship between MCS and knowledge sharing. However, different styles of MCS affect knowledge sharing differently. An interactive control system seems to support and facilitate knowledge sharing among professional accountants. Another finding of this study indicates that infrastructure has a positive effect on knowledge sharing. The results indicate that professional accountants are more willing to share knowledge within a supportive organizational infrastructure. This study also shows the significant relationship between knowledge sharing and professional competency. The results underscore the distinctive impact that the internalization mode of knowledge sharing has on professional competency. The finding implies that among the four modes of knowledge sharing, internalization is the most prolific mode of knowledge sharing among professional accountants. In addition, the study also finds that professional competency is strongly associated with firm performance. The results reveal that functional competency is the most important predictor of firm performance, particularly in its non-financial performance

    Effect of exploitation and exploration on the innovative as outcomes in entrepreneurial firms

    Full text link
    [EN] The main aim of this study is to establish the effect of the Exploitation and Exploration; and the influence of these learning flows on the Innovative Outcome (IO). The Innovative Outcome refers to new products, services, processes (or improvements) that the organization has obtained as a result of an innovative process. For this purpose, a relationship model is defined, which is empirically contrasted, and can explains and predicts the cyclical dynamization of learning flows on innovative outcome in knowledge intensive firms. The quantitative test for this model use the data from entrepreneurial firms biotechnology sector. The statistical analysis applies a method based on variance using Partial Least Squares (PLS). Research results confirm the hypotheses, that is, they show a positive dynamic effect between the Exploration and the Innovative as outcomes. In the same vein, they results confirm the presence of the cyclic movement of innovative outcome with the Exploitation.In addition, this research is part of the Project ECO2015-71380-R funded by the Spanish Ministry of Economy, Industry and Competitiveness and the State Research Agency. Co-financed by the European Regional Development Fund (ERDF).Vargas-Mendoza, NY.; Lloria, MB.; Salazar Afanador, A.; Vergara Domínguez, L. (2018). Effect of exploitation and exploration on the innovative as outcomes in entrepreneurial firms. International Entrepreneurship and Management Journal. 14(4):1053-1069. https://doi.org/10.1007/s11365-018-0496-5S10531069144Alegre, J., & Chiva, R. (2008). Assessing the impact of organizational learning capability on product innovation performance: an empirical test. Technovation, 28, 315–326.Amara, N., Landry, R., Becheikh, N., & Ouimet, M. (2008). Learning and novelty of innovation in established manufacturing SMEs. Technovation, 28, 450–463.Aragón-Mendoza, J., Pardo del Val, M., & Roig, S. (2016). The influence of institutions development in venture creation decision: a cognitive view. Journal of Business Research, 69(11), 4941–4946.Ardichvili, A. (2008). Learning and knowledge sharing in virtual communities of practice: motivators, barriers, and enablers. Advances in Developing Human Resources, 10(4), 541–554.Argyris, C., & Schön, D. (1978). Organizational learning: a theory of action perspective. Reading: Addison Wesley.Bagozzi, R. P., Yi, Y., & Singh, S. (1991). On the use of structural equation models in experimental designs: two extensions international. Journal of Research in Marketing, 8, 125–140.Belda, J., Vergara L., Salazar, A., & Safont G. (2018). Estimating the Laplacian matrix of Gaussian mixtures for signal processing on graphs, accepted for publication in Signal Processing.Boland, R. J. J., & Tenkasi, R. V. (1995). Perspective making and perspective taking in communities of knowing. Organization Science, 6(4), 350–372.Bontis, N., (1998). Intellectual capital: an exploratory study that develops measures models. Management Decision, 36, 63–76.Bontis, N. (1999). Managing an organizational learning system by aligning stocks and flows of knowledge: an empirical examination of intellectual capital, knowledge management, and business performance. 1999. Management of Innovation and New Technology Research Centre, McMaster University.Bontis, N., Keow, W., & Richardson, S. (2000). Intellectual capital and the nature of business in Malaysia. Journal of Intellectual Capital, 1(1), 85–100Bontis, N., Hullan, J., & Crossan, M. (2002). Managing an organizational learning system by aligning stocks and flows. Journal of Management Studies, 39, 438–469.Brachos, D., Kostopulos, K., Sodersquist, K. E., & Prastacos, G. (2007). Knowledge effectiveness, social context and innovation. Journal of Knowledge Management, 11(5), 31–44.Calantone, R. J., Cavusgil, S. T., & Zhao, Y. (2002). Learning orientation, firm innovation capability, and firm performance. Industrial Marketing Management, 31, 515–524.Chang, T. J., Yeh, S. P., & Yeh, I. J. (2007). The effects of joint rewards system in new product development. International Journal of Manpower, 28(3/4), 276–297.Chin, W. (1998). The partial least square approach to structural equation modeling. In G. A. Marcoulides (Ed.) (pp. 294–336). New Jersey: Lawrence Erlbaum Associates.Cho, N., Li, G., & Su, C. (2007). An empirical study on the effect of individual factors on knowledge sharing by knowledge type. Journal of Global Business and Technology, 3(2), 1–15.Cohen, W. M., & Levin, R. C. (1989). Empirical studies of innovation and market structure. In R. Schmalansee & R. D. Willing (Eds.), Handbook of industrial organization II. New York: Elsevier.Cohen, W. M., & Levinthal, D. A. (1990). Absorptive-capacity – a new perspective on learning and innovation. Administrative Science Quarterly, 35, 128–152.Cooper, R. G. (2000). New product performance: what distinguishes the star products. Austrian Journal of Management, 25, 17–45.Crossan, M., & Berdrow, I. (2003). Organizational learning and strategic renewal. Strategic Management Journal, 24, 1087–1105.Crossan, M., & Apaydin, M. (2010). A multi-dimensional framework of organizational innovation: a systematic review of the literature. Journal of Management Studies, 47(6), 1154–1191.Crossan, M., Lane, H. W., & White, R. E. (1999). An organizational learning framework: from intuition to institution. Academy of Management Review, 24, 522–537.Damanpour, F., & Aravind, D. (2012). Managerial innovation: conceptions, processes, and antecedents. Management and Organization Review, 8(2), 423–454.Damanpour, F., & Shanthi, G. (2001). The dynamics of the adoption of products and process innovations in organizations. Journal of Management Studies, 38(1), 21–65.Decarolis, D. M., & Deeds, D. L. (1999). The impact of stock and flows of organizational knowledge on firm performance: An empirical investigation of the biotechnology industry. Strategic Management Journal, 20, 953–968.Demartini, C. (2015). Relationships between social and intellectual capital: empirical Evidence from IC statements. Knowledge and Process Management, 22(2), 99–111.Dupuy, F. (2004). Sharing knowledge: they why and how of organizational change. Hampshire: Palgrave Macmillan.Fornell, C., & Bookstein, F. I. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19, 440–452.Ganter, A., & Hecker, A. (2013). Deciphering antecedents of organizational innovation. Journal of Business Research, 66(5), 575–584.Ganter, A., & Hecker, A. (2014). Configurational paths to organizational innovation: qualitative comparative analyses of antecedents and contingencies. Journal of Business Research, 67, 1285–1292.Gopalakrishnan, S., & Damanpour, F. (1997). A review of innovation research in economics, sociology and technology management. International Journal of Management Science, 25, 15–28.Hedberg, B. (1981). How organizations learn and unlearn. In P. Nystrom & W. Starbuck (Eds.), Handbook of organizational design. New York: Oxford University.Hedlund, G., & Nonaka, I. (1993). Models of knowledge management in the west and Japan. In: P. Lorange, B. Chacravrarthy, J. Ross, and J. Van de ven (Eds.) Cambridge: Basil Blackwell.Henseler, J., Ringle, C.M., & Sinkovics, R.R. (2009). The use the partial least squares path modeling. In: R. Sinkovics and N. Pervez (Eds.) 277–319.Hsu, I. (2006). Enhancing employee tendencies to share knowledge-case studies on nine companies in Taiwan. International Journal of Information Management, 26(4), 326–338.Hsu, I. (2008). Knowledge sharing practices as a facilitating factor for improving organizational performance though human capital: a preliminary test. Expert Systems with Application, 35, 316–1326.Huang, Q., Davison, R., & Gu, J. (2008). Impact of personal and cultural factors on knowledge sharing in China. Asia Pacific Journal Management, 25(3), 451–471.Ibarra, H. (1993). Network centrality, power, and innovation involvement – determinants of technical and administrative roles. Academy of Management Journal, 36(3), 471–501.Iebra, I. L., Zegarra, P. S., & Zegarra, A. S. (2011). Learning for sharing: an empirical analysis of organizational learning and knowledge sharin. International Entrepreneurship Management Journal, 7, 509–518.Ipe, M. (2003). Knowledge sharing in organizations: a conceptual framework. Human Resource Development Review, 2(4), 337–359.Jenkin, T. (2013). Extending the 4I organizational learning model: information sources, foraging processes and tools. Administrative Sciences, 3, 96–109.Jiménez-Jiménez, D., & Sanz-Valle, R. (2011). Innovation, organizational learning, and performance. Journal of Business Research, 64, 408–417.Kane, G. C., & Alavi, M. (2007). Information technology and organizational learning: an investigation of exploration and exploitation processes. Organization Science, 18(5), 796–812.Kleinbaum, D. G., Kupper, N. N., Muller, K. E. (1988). Applied regression analysis and other Multivariable’s methods, PWS KENT.Klomp, L., & Van Leeuwen, G. (2001). Linking innovation and firm performance: a new approach. International Journal of the Economics of Business, 8(3), 343–364.Lansisalmi, H., Kivimaki, M., Aalto, P., & Ruoranen, R. (2006). Innovation in healthcare: a systematic review of recent research. Nursing Science Quarterly, 19(1), 66–72.Laperrière, A., & Spence, M. (2015). Enacting international opportunities: the role of organizational learning in knowledge-intensive business services. Journal of International Entrepreneurship, 13(3), 212–241.Levitt, B., & March, J. G. (1988). Organizational learning. Annual Review of Sociology, 14, 319–340.Lin, H. (2007). Knowledge sharing and firm innovation capability: an empirical study. International Journal of Manpower, 28(3/4), 315–332.Lloria, M. B., & Moreno-Luzón, M. D. (2014). Organizational learning: proposal of an integrative scale and research instrument. Journal of Business Research, 67, 692–697.March, J. G. (1991). Exploration and exploitation in organizational learning. Organizational Science, 2, 71–87.Matikainen, M., Terho, H., Parvinen, P., & Juppo, A. (2016). The role and impact of firm’s strategic orientations on launch performance: significance of relationship orientation. Journal of Business & Industrial Marketing, 31(5), 625–639.Mone, M. A., McKinley, W., & Barker, V. L. (1998). Organizational decline and innovation: a contingency framework. Academy of Management Review, 23, 115–132.Moreno-Luzón, M. D., & Lloria, B. (2008). The role of non-structural and informal mechanisms of integration and integration as forces in knowledge creation. British Journal of Management, 19, 250–276.Moskaliuk, J., Bokhorst, F., & Cress, U. (2016). Learning from others' experiences: how patterns foster interpersonal transfer of knowledge-in-use. Computers in Human Behavior, 55, 69–75.Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company. How Japanese companies create the dynamics of innovation. New York: Oxford University Press.Nonaka, I., & von Krogh, G. (2009). Perspective tacit knowledge and knowledge conversion: controversy and advancement in organizational knowledge creation theory. Organization Science, 20(3), 635–652.Parida, V., Lahti, T., & Wincent, J. (2016). Exploration and exploitation and firm performance variability: a study of ambidexterity in entrepreneurial firms. International Entrepreneurship Management Journal, 12, 1147–1164.Pew, H., Plowman, D., & Hancock, P. (2008). The involving research on intellectual capital. Journal of Intellectual Capital, 9, 585–608.Potter, R. E., & Balthazard, P. A. (2004). The role of individual memory and attention processes during electronic brainstorming. MIS Quarterly, 28(4), 621–643.Ramadani, V., Hyrije, A. A., Léo-Paul, D., Gadaf, R., & Sadudin, I. (2017). The impact of knowledge spillovers and innovation on firm-performance: findings from the Balkans countries. International Entrepreneurship Management Journal, 13, 299–325.Ren, S., Shu, R., Bao, Y., & Chen, X. (2016). Linking network ties to entrepreneurial opportunity discovery and exploitation: the role of affective and cognitive trust. International Entrepreneurship and Management Journal, 12(2), 465–485.Ringle, C. M., Wende, S., & Will, A. (2005). Smart PLS 2.0 (M3) beta, Hamburg: http://www.smartpls.de .Ringle, C. M., Sarstedt, M., & Straub, D. (2012). A critical look at the use of PLS-SEM. MIS Quarterly, 36(1), iii–xiv.Sanchez, R., & Heene, A. (1997). A competence perspective on strategic learning and knowledge management. En Sanchez, R. and Heene, A. (eds.) Strategic learning and knowledge management. John Wiley and Sons.Seidler-de Alwis, R., & Hartmann, E. (2008). The use of tacit knowledge within innovative companies: knowledge management in innovative enterprises. Journal of Knowledge Management, 12(1), 133–147.Shrivastava, P. (1983). A typology of organizational learning systems. Journal of Management Studies, 20, 7–28.Tansky, J., Ribeiro, D., & Roig, S. (2010). Linking entrepreneurship and human resources in globalization. Human Resource Management, 49(2), 217–223.Teece, D. (2012). Dynamic capabilities: routines versus entrepreneurial action. Journal of Management Studies, 49(8), 1395–1401.Tenenhaus, M., Vinzi, V., Chatelin, Y., & Lauro, C. (2005). PLS path modeling. Computational Statistics and Data Analysis, 49, 159–205.vande Vrande, V., de Jong, J., Vanhaverbeke, W., & Rochemont, M. (2009). Open innovation in SMEs: trends, motives and management challenges. Technovation, 29, 423–437.Vargas, N., & Lloria, M. B. (2014). Dynamizing intellectual capital through enablers and learning flows. Industrial Management and Data Systems, 114(1), 2–20.Vargas, N., & Lloria, M. B. (2017). Performance and intellectual capital: how enablers drive value creation in organisations. Knowledge and Process Management, 24(2), 114–124.Vargas, N., Lloria, M. B., & Roig-Dobón, S. (2016). Main drivers of human capital, learning and performance. The Journal of Technology Transfer, 41(5), 961–978.Vergara, L., Salazar, A., Belda, J., Safont, G., Moral, S., & Iglesias, S. (2017). Signal processing on graphs for improving automatic credit card fraud detection. Proceeding of 2017 I.E. 51st international Carnahan Conference on Security Technology (ICCST 2017), https://doi.org/10.1109/CCST.2017.8167820 , 23–26 Oct, 2017, Madrid, Spain.Wallin, M. W., & Von Krogh, G. (2010). Organizing for open innovation: focus o the integration of knowledge. Organizational Dynamics, 39(2), 145–154.Wang, C. L., & Ahmed, P. K. (2004). Linking innovation and firm performance: a new approach. European International Journal of Technology Management, 27, 674–688.Wold, H. (1980). Model construction and evaluation when theoretical knowledge is scarce. In J. Kmenta & J. B. Ramsey (Eds.), Evaluation of econometric models (pp. 47–74). Cambridge: Academic Press.Wold, H. (1985). Factors influencing the outcome of economic sanctions. In Sixto Ríos Honorary. Trabajos de Estadística and de Investigación Operativa, 36(3), 325–337

    Editorial

    Get PDF
    We are presenting you this issue of ABAC ODI JOURNAL Vision . Action. Outcome with ten articles on topics  on managing innovation in teaching on various levels and disciplines such as the arts, language,  and film ;  as well as research articles on organization development interventions that generated change on organizations . Hui Tan and  Laura Brahmakasikara’s  article “ A Blended Learning Design to Improve Non-Music Students’ Knowledge of Chinese Traditional Music in Hunan Agriculture University” is a quasi-experiment research that  determined how blended Chinese Traditional Music Appreciation Course using Superstar Learning Application  improves the Chinese traditional music knowledge of non-music majors. The article “Factors Influencing the Use of Ubiquitous Learning in Higher Education in Sichuan, China in the Aftermath of Covid-19 Pandemic” by  Meizi Huang  utilized confirmation factor analysis and structural equation modeling on data  analysis . Results showed that intention to use has the strongest effect on actual system use;  effort expectancy, facilitating conditions, and social influence except performance expectancy has positive affect the intention to use u-learning. Zhao Lina and  Laura Brahmakasikara’s  article “ Adopting a Blended Learning Approach for Teaching  Chinese Classical Dance” explored the effectiveness of the blended Chinese classical dance course in improving the dance performance of dance students at the College of Art and Design at Guangdong University of Petrochemical Technology, China. “An Application of Video Recording Technology   to Enhance the Key Leader Engagement Performance  at SWCS” written by Timothy Guy Burgess involved the introduction of video recording technology into a classroom of military students to enhance Key Leader Engagement (KLE) performance. The research determined the effectiveness of using video recording technology in improving the students' level of performance in the Special Forces Warrant Officer Technical and Tactical Certification at the U.S. Army Special Warfare Center and School. Jianjun Xue and Watana Vinitwatanakhun’s article “ Improving Students’ English Proficiency by Enhancing the Motivation through Organization Development Intervention— An Action Research Study of a Local University in China”  discusses how  organization development interventions enhance students’ language learning motivation .  Results show that  language learning motivation has significant impacts on students’ language proficiency. The article “ Reflective Coaching for the Development of Pedagogical Content Knowledge of   Biology Teachers in Thailand” by Nunnapat Thilaworrakan and  Ladapa Ladachart is qualitative research that explored  the effects of reflective coaching on developing pedagogical content knowledge (PCK) of biology teachers regarding cell biology.  The article authored by Thida Tin and  Papitchaya Wisankosol on “Enhancing Supportive Leadership, Affective Organizational Commitment,   and Work Engagement: A Participatory Action Research Approach”  reports how work engagement and affective commitment were enhanced through  organizational development interventions (ODI) at the Gold Power Company Limited (GPCL).   The results indicate that the use of  ODI improved supportive leadership . affective organizational commitment, and work engagement . The article  of Mohammad Shazzad Hossain and  Chompu Nuangjamnong on the  “Development of E-Readiness Scale in Blended Learning in Filmmaking Program for a Private University in Bangladesh – Initial Stage”  develop a unified scale to assess the higher education institute's e-readiness  that will identify their strengths and weaknesses and formulate a plan for creating an e-learning environment. The results indicated that the compiled instruments are good to excellent and that the  institutional e-readiness scale could assess the e-readiness of other universities in Bangladesh. The  research  â€œ Improving EFL Students’ Critical Thinking Skills through Organization Development Intervention Strategies  at Zhejiang Yuexiu University in China” by  Chen Yang and  Joanne C.  Preston  is a  quasi-experimental design that  determined the effectiveness of Organization Development Intervention(ODI) in developing second-year EFL students’ CT skills in a private university in China.  The findings reveal that collaborative learning is useful in  developing the  students’ CT skills,  while  instructors need to utilize  various techniques to foster team members’ collaboration skills. The 10th article  by Thein Than Toe and  Somchai Tantasanee on “The  Impact of Organizational Learning and Organizational Innovation on Organizational Performance: A Case of an Internet Service Provider in Myanmar “  is a mixed method research  that showed that organizational innovation has greater impact on organizational performance than organizational learning; organizational learning impacts organizational innovation . The  qualitative findings implied that the organization chosen for the research must take on initiatives to   promote organizational learning and innovation . The contributions of our authors to this issue  are valuable for  knowledge sharing of their research on various disciplines and  methodologies.   We hope that their research will be beneficial to our readers and as support in furthering future related research

    Using the Asian Knowledge Model “APO” as a Determinant for Performance Excellence in Universities- Empirical Study at Al -Azhar University- Gaza

    Get PDF
    This study aims to use the Asian knowledge model “APO” as a determinant for performance excellence in universities and identifying the most effecting factors on it. This study was applied on Al-Azhar University in Gaza strip. The result of the study showed that (APO) model is valid as a measure and there are four dimensions in the model affecting significantly more than the others (university processes, KM leadership, personnel, KM outputs). Furthermore, performance excellence produced though modernizing the means of education, curriculum development, technology and flexibility in the organizational structure. The study recommends expanding the usage of (APO) model, enhancing the role of knowledge leadership, technology, organizational flexibility, sharing culture and incentive systems that encouraging innovation
    • …
    corecore