Investigating Individuals' Intention to be Involved in Knowledge Management Process

Abad, M.D.

doi:10.3844/ajebasp.2011.444.449

Cited by 8 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The measure under the ESNS context is however rare. To operationalize the construct, we borrowed the empirical measures from Jiang and Li (2009), Bryant and Terborg (2008) and Razi and Karim (2011). The theoretical domain for the scale items was based on Nonaka and Von Krogh (2009)'s knowledge creation theory.…”

Section: Knowledge Creationmentioning

confidence: 99%

“…), as well as the features of the four knowledge creation processes (e.g., socialization -"I am involved to find new strategies and opportunities"; combination -"I intend to create new products and services"). Since we focus on knowledge creation, the items for knowledge sharing, alliance with other firms/external parties, and the items reflecting group or organizational level of knowledge creation in Bryant and Terborg (2008), Razi and Karim (2011) and Nonaka and Von Krogh (2009) were filtered out. We specifically tailored our measures to the context of knowledge creation activity after using ESNS by the internal employees.…”

Section: Knowledge Creationmentioning

confidence: 99%

See 1 more Smart Citation

Will enterprise social networking systems promote knowledge management and organizational learning? An empirical study

Chau

2017

Journal of Organizational Computing and Electronic Commerce

103

View full text Add to dashboard Cite

Nowadays, enterprise social media practitioners and researchers are keen to know how the enterprise usage of social media can be converted into the improved organizational performance. Meanwhile, organizational learning has long been considered as one of the measures of organizational performance. This paper investigated the impact of enterprise social networking systems usage on knowledge management processes and organizational learning; in particular, we examined the mediating role of knowledge creation and knowledge sharing. Four theories from sociology and strategic management were used to build the hypotheses in the research model. An online survey was conducted to empirically test the model. Our study results showed that enterprise social networking systems usage directly and indirectly influence organizational learning; and that knowledge management processes (knowledge creation and sharing) mediate the path between the two. This study contributes to the existing literature on enterprise social media for three reasons. First, it is among the first to connect the three independent concepts (social media, knowledge management and organizational learning) and explore their relationships in one theoretical framework. Second, this work also specifically examines the influence of enterprise social networking systems (Yammer in this case) on organizational processes and outcomes. Third, this is a pioneering study that employs multiple theories to address the research questions under the organizational social media context.Therefore, the research gives implications for both practitioners and scholars who are interested in understanding the effectiveness of enterprise social networking systems usage in the modern organizations today.

show abstract

Section: Knowledge Creationmentioning

confidence: 99%

Section: Knowledge Creationmentioning

confidence: 99%

Will enterprise social networking systems promote knowledge management and organizational learning? An empirical study

Chau

2017

Journal of Organizational Computing and Electronic Commerce

103

View full text Add to dashboard Cite

show abstract

“…In addition to the organizational cost of technology resistance, there is an opportunity lost dimension. Decision makers often resist implementing new technology because they anticipate end user resistance (Luor & Lu, 2012;McDaniel, 2011;Razi & Karim, 2011). The result is a decreasing performance domino effect where managers tend to avoid innovations that would increase revenue or decrease expenses due to anticipated technology resistance accompanied by decreased productivity.…”

Section: Introductionmentioning

confidence: 99%

Student Resistance to a Mandatory Learning Management System in Online Supply Chain Courses

Strang

Vajjhala

2017

Journal of Organizational and End User Computing

View full text Add to dashboard Cite

The authors explored how a technology model captured the factors that motivated and demotivated students to accept a new learning management system in online supply chain courses at an accredited public American university. Technology resistance is a well-known social science problem that results in reduced performance in business although it has rarely been examined in higher education. A new LMS is mandatory technology that is necessary to use in order to perform well in online global supply chain management courses. The authors drew a sample of graduating supply chain management students to explore this problem because these participants represent the next generation of employees who are likely to work with mandatory technology. The authors argue that it is important to study management students because their technology acceptance motivations will generalize to the future supply chain workforce. If decision makers could understand why management students resist new software, then they could develop strategies to address the critical success factors in hopes that organizational performance might be increased. The design was statistically powerful according to social research standards because the authors examined actual behavior by measuring grade as the dependent variable instead of relying on behavioral intent (BI) which is a subjective perceptional factor because participants are generally asked to self-report this through a survey. In keeping with published empirical literature the authors determined that perceived usefulness predicted BI using multiple regression. In contrary to the existing literature, they did not find that perceived resources (PR) was causally related to actual performance, although they did observe through regression that BI could be forecasted from PR. Their regression model indicated that perceived ease of use (PEOU) was not related to BI but in regression they found PEOU significantly impacted actual performance. These were two contradictory findings that PU impacted BI but not actual performance yet PR and PEOU predicted actual performance but not BI. Another unique departure from the empirical literature was that Computer Self Efficacy (CSE), Perceptions of External Control (PEC), and Computer Anxiety (CANX) were not related to either BI or actual performance. An interesting finding was that perceived enjoyment was strongly related to both BI and actual performance, although the perceptions were opposite between intention versus actual behavior. Multiple regression revealed that lower perceptions of enjoyment was significantly linked to BI while strong perceptions of enjoyment predicted actual performance. Although the authors were certain that peer influence would impact BI and actual performance, in their sample they did not find any support for subjective norm pressure on BI or actual performance. In a similar breakthrough they determined that job relevance and output quality were not causally linked to BI or actual performance. Another statistically significant finding was that positive perceptions of voluntariness were causally related to BI through multiple regression tests and also positively related to actual performance based on hierarchical regression. The authors determined that results demonstrability was causally related to BI from their multiple regression tests but interestingly it was not related to actual performance. The authors extensively discuss the above findings in their conclusions and provide many recommendations for future research. Finally, another valuable contribution the authors made to the scholarly community of practice through this study was to develop large effect-size parsimonious models with very few required factors that captured 56% of the variance on BI and 49% of the variance on actual performance.

show abstract

“…Individuals' intention to be involved and intention to behave sustainably were thus investigated instead of their actual involvement and behavior. [14] define intention to be involved as the receptive attitude of organizational members to be involved in a knowledge management process. This was transferred to the contexts of the two projects.…”

Section: Introductionmentioning

confidence: 99%

Target-Oriented Promotion of the Intention for Sustainable Behavior with Social Norms

et al. 2020

View full text Add to dashboard Cite

To date, measures to promote sustainable behavior by influencing attitudes have often not had the expected success. Past research indicates that using social norms to promote sustainable behavior in people with low involvement in environmental protection offers a promising basis to address this problem. In this study, this insight was transferred to the context of two environmental measures at an early stage of development by investigating the effects of social norms on the intention for sustainable behavior in people with a low intention to be involved in environmental protection. Study 1 was conducted in the context of a university project on energy-saving behavior with 606 university members, and Study 2 was carried out in the context of a project on the acceptance of an innovative, sustainable technology with 101 consumers. In both studies, social norms had stronger effects on people with a low intention to be involved in environmental protection. Therefore, using social norms to promote the intention for sustainable behavior among people with a low intention to be involved offers a promising basis for further research and could serve as an approach for designing target-group-specific strategies at early stages in the development of sustainability measures.

show abstract

Investigating Individuals' Intention to be Involved in Knowledge Management Process

Cited by 8 publications

References 21 publications

Will enterprise social networking systems promote knowledge management and organizational learning? An empirical study

Will enterprise social networking systems promote knowledge management and organizational learning? An empirical study

Student Resistance to a Mandatory Learning Management System in Online Supply Chain Courses

Target-Oriented Promotion of the Intention for Sustainable Behavior with Social Norms

Contact Info

Product

Resources

About